{"id":"W2078040718","doi":"10.1503/cmaj.109-4161","title":"CIHR doubles support for clinical research","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); General partnership; Political science; Public administration; Medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.08474458,0.002459092,0.003137011,0.009407935,0.004739213,0.01631121,0.008189161,0.02005464,0.09106548],"category_scores_gemma":[0.2047495,0.001884286,0.003025931,0.005195674,0.005688946,0.005978091,0.01359174,0.02150035,0.05191174],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03809293,"about_ca_system_score_gemma":0.2613977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2486228,"about_ca_topic_score_gemma":0.2957053,"domain_scores_codex":[0.8223305,0.02204305,0.006485767,0.006927312,0.1188056,0.02340786],"domain_scores_gemma":[0.5667399,0.03413995,0.009326485,0.02833051,0.2114592,0.1500039],"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":[0.0001682199,0.00003324673,0.0002699312,0.0001795234,0.0000471755,0.00007074078,0.00004183015,0.00002739278,0.0002118906,0.006782831,0.9665489,0.02561837],"study_design_scores_gemma":[0.0001796924,0.00007810765,0.001613293,0.000360993,0.00003784322,0.0001991619,0.00008263528,0.00007473311,0.0001347345,0.001042541,0.9961637,0.00003257986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001154631,0.02602319,0.001998299,0.6411925,0.1262498,0.0006407996,0.005113177,0.002848098,0.1947795],"genre_scores_gemma":[0.04375504,0.03459251,0.01530147,0.4587221,0.06517559,0.001201815,0.01540086,0.001896594,0.3639542],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9619071,"threshold_uncertainty_score":0.4943514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4149918982875392,"score_gpt":0.5813251863235483,"score_spread":0.1663332880360091,"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."}}