{"id":"W1753802447","doi":"","title":"Heads of new institutes to set tone for Canadian research","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tone (literature); Medical research; Library science; Computer science; Data science; Medical education; Political science; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03875481,0.001461797,0.001302347,0.004898588,0.02655691,0.02462969,0.004233073,0.01535879,0.04484862],"category_scores_gemma":[0.07128226,0.001660891,0.001868794,0.00472437,0.01171725,0.01011724,0.01686133,0.0301907,0.01131639],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1078149,"about_ca_system_score_gemma":0.3808546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8633235,"about_ca_topic_score_gemma":0.9421164,"domain_scores_codex":[0.9444686,0.005492899,0.001983212,0.003764814,0.02707153,0.0172188],"domain_scores_gemma":[0.844709,0.006486665,0.002923894,0.005572934,0.07553311,0.06477432],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005913594,0.00003032302,0.0006808891,0.0001020326,0.00002400685,0.0001317887,0.0006985072,0.00008125169,0.0003493764,0.1003479,0.8818645,0.01563034],"study_design_scores_gemma":[0.00002623394,0.000009564516,0.0009432505,0.0001151323,0.00001390671,0.00003209854,0.0009579004,0.00004903366,0.0001177991,0.003424163,0.9942648,0.00004603358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002109418,0.007539612,0.002582702,0.8056951,0.04440652,0.0003472802,0.0007194544,0.0005846535,0.1360153],"genre_scores_gemma":[0.04503931,0.009079733,0.0136372,0.4998493,0.007566322,0.0004245534,0.001126719,0.0008183629,0.4224585],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9612452,"threshold_uncertainty_score":0.7822558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2619158065586984,"score_gpt":0.448680648845004,"score_spread":0.1867648422863055,"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."}}