{"id":"W4398858225","doi":"10.7910/dvn/ycoho7/wlczto","title":"JEEHP-19-041_6_00.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00135298,0.003731735,0.00215699,0.005423382,0.001341724,0.004791223,0.004749408,0.003898215,0.2624905],"category_scores_gemma":[0.008828171,0.001308404,0.002009752,0.00828291,0.0009005244,0.002668589,0.00355085,0.002589887,0.3351564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020526,"about_ca_system_score_gemma":0.002941522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324895,"about_ca_topic_score_gemma":0.03898272,"domain_scores_codex":[0.9987261,0.0002098457,0.0001357592,0.0004154647,0.000243566,0.0002692926],"domain_scores_gemma":[0.9967276,0.001069348,0.0002418185,0.0008261391,0.0007079557,0.0004272087],"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":[0.00003962296,0.00001138272,0.0002017085,0.0005647564,0.00002381749,0.00001135428,0.0000156954,0.0001130065,0.00008774555,0.0002968728,0.9978783,0.0007557358],"study_design_scores_gemma":[0.0004240028,0.00003070618,0.001587458,0.0004241933,0.00004438145,0.00005560351,0.00008627841,0.0003345688,0.0004719997,0.001611301,0.9948843,0.00004520042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000527349,0.00006247892,0.00003569178,0.00007809472,0.00003607202,0.000005638794,0.9986829,0.000515973,0.0005303642],"genre_scores_gemma":[0.0002117431,0.00006395952,0.0001478253,0.00008919484,0.00001180007,0.00004273098,0.9984693,0.00019851,0.0007647997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7375095,"threshold_uncertainty_score":0.8781182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083017159153187,"score_gpt":0.2751873722446102,"score_spread":0.2443572006530783,"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."}}