{"id":"W2298137909","doi":"10.1177/0141076815596690","title":"Why did I become a clinician-trialist?","year":2015,"lang":"en","type":"article","venue":"Journal of the Royal Society of Medicine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Data science; Computer science; World Wide Web; Medicine","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":[0.04608341,0.00033795,0.0008497584,0.001088029,0.008646859,0.01301335,0.002615625,0.02311882,0.03992286],"category_scores_gemma":[0.3040083,0.001043238,0.00110047,0.000854361,0.01157246,0.01213865,0.005272576,0.03354438,0.01719125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005924317,"about_ca_system_score_gemma":0.02307749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004182955,"about_ca_topic_score_gemma":0.009796075,"domain_scores_codex":[0.9554602,0.02544599,0.002376396,0.003985671,0.007497368,0.005234411],"domain_scores_gemma":[0.7480983,0.05742623,0.0149126,0.007979192,0.03812305,0.1334607],"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":[0.000393145,0.0003804601,0.009057595,0.0003661712,0.0001252877,0.001624299,0.005220994,0.0001085289,0.0004615124,0.03173315,0.8990445,0.05148441],"study_design_scores_gemma":[0.0009209609,0.0004850018,0.004545114,0.002818983,0.0001357133,0.005620346,0.01697865,0.0003592689,0.0005808709,0.05535385,0.9119305,0.0002707772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002478936,0.001286445,0.0009694772,0.9739691,0.01280678,0.00005958388,0.00003509828,0.00004944824,0.008345079],"genre_scores_gemma":[0.04955674,0.001935552,0.002556184,0.9181185,0.01201464,0.000312884,0.00005144242,0.0001910838,0.01526299],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04608341,"threshold_uncertainty_score":0.2437152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2221314483834926,"score_gpt":0.4616130959865633,"score_spread":0.2394816476030708,"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."}}