{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"a3907cd3dcbf","filters":{"venue":"ESR Data and information Repository"}},"results":[{"id":"W6927070703","doi":"10.26091/esrnz.7967477","title":"Implementation framework for chronic disease intervention effectiveness in Māori and other indigenous communities","year":2019,"lang":"en","type":"article","venue":"ESR Data and information Repository","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Indigenous; Psychological intervention; Conceptual framework; Community engagement; Intervention (counseling); Traditional knowledge; Chronic disease; Community health; Coding (social sciences)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.009484635466241407,"gpt":0.275916785044868,"spread":0.2664321495786266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003308228,0.00005797154,0.00007177163,0.00002764204,0.00008777221,0.00006629232,0.00009966505,0.00003147799,0.00005507729],"category_scores_gemma":[0.000005887332,0.00005427202,0.00000979203,0.00003384593,0.00002512452,0.001428672,0.0001273395,0.00005045138,0.00001388749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009168664,"about_ca_system_score_gemma":0.00001135324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046263,"about_ca_topic_score_gemma":0.0004780782,"domain_scores_codex":[0.9995273,0.00005380495,0.0001973162,0.0000692853,0.00007262427,0.00007964754],"domain_scores_gemma":[0.9995564,0.00007930907,0.0001037524,0.000226306,0.000003941886,0.00003027608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004706408,0.0000168212,0.978349,0.0004283361,0.00000927372,1.683295e-7,0.002994681,0.0001564448,0.00002837626,0.003339421,0.00005032941,0.01458014],"study_design_scores_gemma":[0.0009982055,0.0001821969,0.9179155,0.0002496588,0.0000160481,0.000005794666,0.00372627,0.05724892,0.00006406858,0.00103063,0.01838512,0.0001775713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986914,0.00008401573,0.01175568,0.000007734097,0.0001443138,0.0005981873,0.000132024,0.000008894628,0.0003551444],"genre_scores_gemma":[0.9991638,0.00002018872,0.0002591208,0.00005234615,0.00001657992,0.00004086336,0.0004335996,0.000003390312,0.00001009667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06043343,"threshold_uncertainty_score":0.2213149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6908338679","doi":"10.26091/esrnz.11375769","title":"NIST interlaboratory studies involving DNA mixtures (MIX13): A modern analysis","year":2019,"lang":"en","type":"article","venue":"ESR Data and information Repository","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"NIST; Consistency (knowledge bases); Interpretation (philosophy); Probabilistic logic; Measure (data warehouse); Genotyping; Statement (logic); Multiplex","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0121778228077025,"gpt":0.2832552343741729,"spread":0.2710774115664704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002309684,0.0001015033,0.0001434692,0.0001001304,0.0001059436,0.0001022596,0.0002500534,0.00007857198,0.000008082252],"category_scores_gemma":[0.00006719014,0.00008548184,0.00003666683,0.0001358117,0.0001010274,0.00009301637,0.0004502675,0.00007046245,0.00001674644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009503321,"about_ca_system_score_gemma":0.00006670696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000176329,"about_ca_topic_score_gemma":0.0000130624,"domain_scores_codex":[0.9991945,0.00004138891,0.000253271,0.0002053649,0.0001711322,0.0001343134],"domain_scores_gemma":[0.9989693,0.00001251031,0.00009344525,0.0007071588,0.0001605799,0.00005706371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005354939,0.0001168795,0.1421528,0.0009152794,0.006665496,0.00001176471,0.006662913,0.0006719962,0.5934227,0.0009451246,0.188056,0.05984354],"study_design_scores_gemma":[0.002432508,0.001091883,0.05863167,0.0001316613,0.0007461012,0.00007596007,0.0106442,0.06762551,0.2451579,0.0001951164,0.6118453,0.00142217],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990519,0.004609216,0.001049348,0.00006723083,0.000220006,0.0001485509,0.00006721679,0.00001208358,0.003307302],"genre_scores_gemma":[0.9966303,0.0007611069,0.0002771159,0.0003428337,0.00009018175,0.00000704651,0.001176136,0.000004827707,0.0007104522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4237893,"threshold_uncertainty_score":0.3485848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6927245811","doi":"10.26091/esrnz.7905494","title":"PulseNet International: Vision for the implementation of whole genome sequencing (WGS) for global food-borne disease surveillance","year":2019,"lang":"en","type":"other","venue":"ESR Data and information Repository","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Subtyping; Disease surveillance; Whole genome sequencing; Preparedness; Data quality; Outbreak; Transmission (telecommunications)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01841167346921225,"gpt":0.3310620967754307,"spread":0.3126504233062185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105843,0.000118615,0.0001616727,0.0000709697,0.00007046387,0.00005520393,0.0001217973,0.00006512847,0.00002786486],"category_scores_gemma":[0.00002935348,0.00008499258,0.0000554129,0.00005010919,0.00002922443,0.0005205229,0.00007523408,0.00003400873,0.0000051714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009140278,"about_ca_system_score_gemma":0.0001179857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002180368,"about_ca_topic_score_gemma":0.00004274615,"domain_scores_codex":[0.9992899,0.000009711228,0.0003159498,0.0001498023,0.0001446487,0.00009000926],"domain_scores_gemma":[0.998992,0.00004817677,0.0003400401,0.0004610877,0.0001097019,0.00004900588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008960373,0.0002338548,0.0888596,0.003539179,0.003600019,0.000002564495,0.0004051236,0.0001054195,0.0005066912,0.006756025,0.7536913,0.1414042],"study_design_scores_gemma":[0.001642159,0.0002379826,0.05592856,0.00009846787,0.0001517746,0.00000784192,0.0002073809,0.002111161,0.00002629903,0.00001935428,0.939477,0.00009200693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01660912,0.01162555,0.2041842,0.01047855,0.0175575,0.05547097,0.2624361,0.0008687552,0.4207692],"genre_scores_gemma":[0.6657895,0.002252302,0.004600958,0.001440044,0.002429824,0.001752517,0.2251264,0.0002997219,0.09630872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6491804,"threshold_uncertainty_score":0.3465897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}