{"id":"W3097285255","doi":"10.15586/jptcp.v24i3.641","title":"CAPT / ACTP ANNUAL MEETING 2017","year":2017,"lang":"en","type":"article","venue":"Journal of Population Therapeutics and Clinical Pharmacology","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Ministry of Health, British Columbia","keywords":"Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008932305,0.00006857074,0.0001789656,0.00005020333,0.0002167538,0.0001067099,0.0004736986,0.00006886854,0.000006800254],"category_scores_gemma":[0.00008306842,0.00005743979,0.00007954353,0.00002284017,0.00004503403,0.0003702809,0.0000934812,0.0002432698,0.000002056493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001597004,"about_ca_system_score_gemma":0.00004071298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001078408,"about_ca_topic_score_gemma":0.000002405133,"domain_scores_codex":[0.9991068,0.00005835807,0.0004831463,0.0001032473,0.0001294945,0.0001190107],"domain_scores_gemma":[0.9987248,0.0002266928,0.0006124442,0.0001495341,0.0001808084,0.0001056898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002260768,0.001303347,0.4302811,0.00007251646,0.001737955,0.0001404827,0.001676056,0.01616824,0.005896235,0.1426941,0.01111134,0.3886926],"study_design_scores_gemma":[0.001502278,0.0003478716,0.8671269,0.00003036006,0.0001333772,0.0001015633,0.00004614712,0.09034353,0.00009471508,0.01338096,0.02668183,0.0002104323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8534937,0.001019525,0.09695761,0.03269794,0.01494153,0.0001196668,0.000003195846,0.00002512846,0.0007417408],"genre_scores_gemma":[0.9900233,0.0005094639,0.007612946,0.0008656643,0.0009352814,3.332978e-7,4.109742e-7,0.000004772127,0.00004779983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4368458,"threshold_uncertainty_score":0.2342327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08543200165970621,"score_gpt":0.439739061359563,"score_spread":0.3543070596998568,"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."}}