{"meta":{"query_hash":"9cae8cd4f597","filters":{"venue":"Innovation and Emerging Technologies"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/9cae8cd4f597","api":"https://metacan.xera.ac/api/v1/cohort?venue=Innovation+and+Emerging+Technologies"},"results":[{"id":"W4404512506","doi":"10.1142/s2737599424500075","title":"Electrochemical modeling of algae-driven micro-photosynthetic power cell","year":2024,"lang":"en","type":"article","venue":"Innovation and Emerging Technologies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Algae; Photosynthesis; Electrochemistry; Biological system; Environmental science; Nanotechnology; Biochemical engineering; Chemistry; Chemical engineering; Materials science; Botany; Biology; Engineering; Electrode","score_opus":0.007938736704750616,"score_gpt":0.21609511330877748,"score_spread":0.20815637660402686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404512506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33962527,0.0043270458,0.57682097,0.0016458523,0.00034099648,0.00023422435,0.0020438826,0.0007815704,0.0741801],"genre_scores_gemma":[0.96053064,0.0023447378,0.020157367,0.00015837225,0.00004112734,0.00033999406,0.00048733983,0.000052162406,0.015888276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998691,0.000015839063,0.0000066004245,0.00003854375,0.000055856002,0.000013985885],"domain_scores_gemma":[0.9999219,0.000027197322,0.000009452557,0.000009684574,0.000025921145,0.0000058553333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012165227,0.0004217357,0.0005203293,0.0002172037,0.00036653207,0.00070291193,0.00135757,0.0012061432,0.0014284212],"category_scores_gemma":[0.00028813328,0.00022178507,0.00069173693,0.00043189246,0.00030111603,0.00087893347,0.00043620818,0.00050969626,0.0005276104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046785666,0.0000526908,0.0009982507,0.00018275571,0.000030026207,0.00039704453,0.000080406266,0.9284605,0.04611676,0.013553222,0.00070327404,0.009378275],"study_design_scores_gemma":[0.0000042681,0.0000147704495,0.00022827047,0.0000035819257,0.0000054042825,0.00003757277,0.000011853674,0.9942696,0.003030905,0.001343374,0.001044269,0.000006001629],"about_ca_topic_score_codex":0.0040081153,"about_ca_topic_score_gemma":0.0018371729,"teacher_disagreement_score":0.0040081153,"about_ca_system_score_codex":0.000559464,"about_ca_system_score_gemma":0.00058339245,"threshold_uncertainty_score":0.007969558},"labels":[],"label_agreement":null},{"id":"W4410933149","doi":"10.1142/s2737599425500082","title":"Some new aspects on COVID-19 transmission dynamics applicable to other epidemics: Insights from mathematical modeling and numerical simulations","year":2025,"lang":"en","type":"article","venue":"Innovation and Emerging Technologies","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Statistical physics; Dynamics (music); 2019-20 coronavirus outbreak; Computer science; Virology; Physics; Biology; Medicine; Outbreak; Infectious disease (medical specialty); Telecommunications","score_opus":0.14704068848313898,"score_gpt":0.41280397794597073,"score_spread":0.2657632894628318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410933149","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11157065,0.011990847,0.8207667,0.009732039,0.0005739311,0.00012241707,0.000246727,0.00012672141,0.04486999],"genre_scores_gemma":[0.8798135,0.014778551,0.096229784,0.0009152581,0.00070543285,0.00021846207,0.00017107803,0.00010739105,0.007060585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994849,0.0002741971,0.000032056596,0.00005713382,0.00009766846,0.00005403851],"domain_scores_gemma":[0.9977247,0.001658882,0.0002964785,0.00012835322,0.00012840221,0.00006309907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015831068,0.0006242558,0.00092685537,0.0010902274,0.0006185964,0.0017120758,0.00086817954,0.0014336148,0.00237081],"category_scores_gemma":[0.007899567,0.0003086604,0.001407776,0.0007672138,0.0016202496,0.0029929755,0.0012092815,0.0016892118,0.000185421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023926821,0.00007943945,0.0035367217,0.00021542324,0.000042868465,0.0004937459,0.00050995837,0.39545676,0.0015952719,0.58469504,0.0013332778,0.012017543],"study_design_scores_gemma":[0.000008627316,0.00003377589,0.0007289907,0.00008978663,0.000015986509,0.00016304871,0.0001831993,0.8179347,0.00025651994,0.17558426,0.0049786908,0.000022483613],"about_ca_topic_score_codex":0.0042929384,"about_ca_topic_score_gemma":0.0021082228,"teacher_disagreement_score":0.0042929384,"about_ca_system_score_codex":0.00084064173,"about_ca_system_score_gemma":0.000858101,"threshold_uncertainty_score":0.008535922},"labels":[],"label_agreement":null},{"id":"W4413028280","doi":"10.1142/s2737599425300089","title":"AI-powered precision population health – optimising health demand and capacity with predictive intelligence analytics in an England case study","year":2025,"lang":"en","type":"article","venue":"Innovation and Emerging Technologies","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Predictive analytics; Analytics; Data science; Population health; Population; Computer science; Operations research; Medicine; Engineering; Environmental health","score_opus":0.03511731989990268,"score_gpt":0.33764486151313183,"score_spread":0.30252754161322915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413028280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89804375,0.0009428579,0.034499776,0.007661131,0.0000875958,0.00047550222,0.0029087164,0.00022376349,0.05515687],"genre_scores_gemma":[0.9795864,0.0004126923,0.012554078,0.00018084278,0.000016503425,0.00012533412,0.00045134683,0.000030791438,0.0066419463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989385,0.00062808685,0.000047202975,0.0000793732,0.00014428319,0.00016254003],"domain_scores_gemma":[0.9975237,0.0016285056,0.000116071526,0.00016164914,0.0003312946,0.00023875662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014817534,0.0003566878,0.00025371625,0.00066708744,0.00097313576,0.0015267398,0.00091252505,0.0011594468,0.0038640571],"category_scores_gemma":[0.0046031005,0.00020206027,0.00035623717,0.0009579157,0.0011126047,0.0009812046,0.0013885266,0.00075435033,0.00043261558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001486873,0.0017589019,0.14408776,0.0013721596,0.00022910706,0.04012609,0.028732147,0.47109333,0.0077235526,0.14030923,0.041074,0.12200694],"study_design_scores_gemma":[0.0006383879,0.001428661,0.10029895,0.0008869725,0.00023561275,0.0066927723,0.073938094,0.552251,0.009698556,0.057406146,0.19624342,0.0002814596],"about_ca_topic_score_codex":0.12570678,"about_ca_topic_score_gemma":0.13456413,"teacher_disagreement_score":0.12570678,"about_ca_system_score_codex":0.0040882193,"about_ca_system_score_gemma":0.0023246473,"threshold_uncertainty_score":0.24995017},"labels":[],"label_agreement":null}]}