{"id":"W1515248997","doi":"10.1126/science.299.5611.1298","title":"Graduate Training, Research Councils Are Big Winners","year":2003,"lang":"en","type":"article","venue":"Science","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Occupational Therapists","funders":"","keywords":"Training (meteorology); Psychology; Medical education; Political science; Geography; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009387889,0.001035431,0.001094221,0.002620844,0.015754,0.01781818,0.001537062,0.006350826,0.08539873],"category_scores_gemma":[0.03032544,0.0008298727,0.0007212699,0.004861243,0.004268585,0.003776486,0.006515149,0.006909411,0.03021111],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03665505,"about_ca_system_score_gemma":0.1355056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6838941,"about_ca_topic_score_gemma":0.8812504,"domain_scores_codex":[0.9789737,0.001148609,0.0003610092,0.001029266,0.01189134,0.006596225],"domain_scores_gemma":[0.9460538,0.001201807,0.000675428,0.001251731,0.0186154,0.03220183],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002080876,0.00001325365,0.000575736,0.0000338263,0.000005335372,0.00001591415,0.0001842407,0.00001310428,0.00007050551,0.004994738,0.9784476,0.01562481],"study_design_scores_gemma":[0.00001375918,0.000008316542,0.002703089,0.00006111295,0.000005087345,0.000009669076,0.0008418436,0.00001009566,0.00002466875,0.0009251126,0.995387,0.00001017275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005369382,0.01004359,0.0004961956,0.5813164,0.02523785,0.0002040422,0.002180388,0.0005051623,0.374647],"genre_scores_gemma":[0.05019252,0.01203704,0.001688568,0.1131573,0.00397871,0.0001439301,0.002239034,0.0003923051,0.8161706],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9906121,"threshold_uncertainty_score":0.635935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4845431867635521,"score_gpt":0.4471322617602251,"score_spread":0.03741092500332699,"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."}}