{"id":"W6931777661","doi":"10.5281/zenodo.6347778","title":"harmonymartell/Acerv_Broward-growth-data: Martell 2022","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gastrointestinal Tumor Research and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agonist; Receptor; Section (typography)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006778557,0.0008087507,0.0003701658,0.002911032,0.0005174564,0.0008636,0.001231917,0.0004626741,0.152592],"category_scores_gemma":[0.00192582,0.0005582583,0.0004531533,0.002017367,0.0001618758,0.0006266019,0.000843971,0.0004349049,0.06830554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337742,"about_ca_system_score_gemma":0.001221964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1298487,"about_ca_topic_score_gemma":0.2586265,"domain_scores_codex":[0.9995772,0.00002545706,0.00002478257,0.00008464568,0.00020329,0.00008464406],"domain_scores_gemma":[0.9986865,0.0001913454,0.0001586524,0.0003739622,0.0003835146,0.0002060398],"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":[0.0004816695,0.0001060446,0.01133475,0.000198248,0.00004112642,0.00009004097,0.0001510853,0.0008575913,0.003827508,0.001046398,0.9464027,0.03546279],"study_design_scores_gemma":[0.0002210314,0.00009003465,0.07687838,0.00006413369,0.00004027931,0.00009598133,0.0001358976,0.002374092,0.006423221,0.0007574378,0.9128634,0.0000562167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009168148,0.00006278139,0.001909837,0.0003224355,0.00006935508,0.0001004214,0.9314592,0.00461418,0.05229362],"genre_scores_gemma":[0.01737011,0.00006973861,0.003892634,0.0001079775,0.00002801345,0.0002168033,0.9180723,0.002260476,0.05798185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.152592,"threshold_uncertainty_score":0.510471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05760533362846759,"score_gpt":0.2758796478408947,"score_spread":0.2182743142124272,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}