{"meta":{"query_hash":"3a1e10b43d59","filters":{"venue":"International Journal of Computers in Clinical Practice"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/3a1e10b43d59","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Computers+in+Clinical+Practice"},"results":[{"id":"W2899183792","doi":"10.4018/ijccp.2018070101","title":"A Biologically-Inspired Metaheuristic Approach for the Simultaneous Generation of Alternatives","year":2018,"lang":"en","type":"article","venue":"International Journal of Computers in Clinical Practice","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Firefly algorithm; Benchmark (surveying); Metaheuristic; Computer science; Mathematical optimization; Artificial intelligence; Machine learning; Mathematics","score_opus":0.14264015778157074,"score_gpt":0.43382820613745265,"score_spread":0.2911880483558819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899183792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057743913,0.0002458115,0.9850536,0.0053176503,0.0030402055,0.00013410993,0.000003498034,0.000011619788,0.00041908672],"genre_scores_gemma":[0.55480474,0.00006220111,0.44293076,0.0013080963,0.00088174175,0.0000018324704,0.0000015306055,0.0000033539645,0.000005767097],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974196,0.00049462315,0.0012437069,0.00022295822,0.0004847368,0.00013437221],"domain_scores_gemma":[0.97484887,0.021765066,0.0015119854,0.00021631767,0.0016022818,0.00005548471],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004682633,0.000108077234,0.00026368894,0.00013052057,0.00006529466,0.00012795458,0.0017821718,0.000078606456,0.0000025915342],"category_scores_gemma":[0.01159237,0.000070743234,0.00018434934,0.00014618241,0.00017628944,0.0004932643,0.00017406937,0.00036269557,0.0000019319166],"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":[0.00253377,0.002527564,0.0045710797,0.00003513805,0.0022286659,0.0003318807,0.0029423551,0.18424791,0.0007322504,0.05803699,0.0070326407,0.7347798],"study_design_scores_gemma":[0.0010342784,0.0009279369,0.00086963986,0.00005998131,0.000035229226,0.00016264219,0.000038711525,0.9831211,0.00014165703,0.0023928636,0.011118694,0.00009725542],"about_ca_topic_score_codex":0.000014760515,"about_ca_topic_score_gemma":0.0000013382604,"teacher_disagreement_score":0.7988732,"about_ca_system_score_codex":0.000037918093,"about_ca_system_score_gemma":0.00013427505,"threshold_uncertainty_score":0.9967334},"labels":[],"label_agreement":null}]}