{"id":"W2497199632","doi":"10.1136/bmj.i3987","title":"Canada’s scientists win overhaul of federal research grant system","year":2016,"lang":"en","type":"article","venue":"BMJ","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grant funding; Face (sociological concept); Political science; Healthcare system; Systems research; Library science; Management; Public administration; Sociology; Health care; Computer science; Law; Geography; Social science; Economics","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":[0.07489394,0.001080893,0.001875466,0.005397651,0.01849278,0.01755129,0.004992549,0.01849974,0.02472864],"category_scores_gemma":[0.1483435,0.001463056,0.002013557,0.004930554,0.007604855,0.00464814,0.008020226,0.01536,0.008221804],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1081704,"about_ca_system_score_gemma":0.4801822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9141192,"about_ca_topic_score_gemma":0.9353999,"domain_scores_codex":[0.8826521,0.01174844,0.003275835,0.004497539,0.08008828,0.0177379],"domain_scores_gemma":[0.7637736,0.02142382,0.003662637,0.01377253,0.1326418,0.06472571],"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":[0.0001189778,0.00003774768,0.001776148,0.0001078509,0.00005174303,0.0001425439,0.0003388413,0.0001585854,0.0004830049,0.03067278,0.9395663,0.02654538],"study_design_scores_gemma":[0.00008759989,0.00004179785,0.004260618,0.0001419085,0.00002907238,0.0000437618,0.0002334957,0.0002659324,0.0001966739,0.002855692,0.9917835,0.00005992212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004443923,0.003888894,0.004212011,0.8845239,0.02189526,0.0008842433,0.003084078,0.001585883,0.07548181],"genre_scores_gemma":[0.0762549,0.005711362,0.02215071,0.5455869,0.007120681,0.001019696,0.004310649,0.001059079,0.336786],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.925106,"threshold_uncertainty_score":0.784835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2363257729379439,"score_gpt":0.4895337116011527,"score_spread":0.2532079386632088,"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."}}