{"id":"W2049977189","doi":"10.1503/cmaj.071138","title":"Stepping down from CIHR","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02325699,0.001357785,0.001532948,0.002513698,0.00874321,0.01335175,0.004248924,0.0235524,0.07079672],"category_scores_gemma":[0.11335,0.0007785362,0.00198902,0.001813223,0.008554552,0.01298457,0.01016892,0.05427838,0.0358677],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008500405,"about_ca_system_score_gemma":0.03371734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06333956,"about_ca_topic_score_gemma":0.08548547,"domain_scores_codex":[0.9791335,0.004245172,0.001207572,0.002222635,0.009543498,0.003647508],"domain_scores_gemma":[0.9168405,0.01596094,0.002077919,0.005802395,0.03683048,0.02248778],"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":[0.00001451791,0.000006082714,0.00007284927,0.00002827731,0.000003831544,0.00002919611,0.0000753424,0.000009105755,0.0000311156,0.005132112,0.989989,0.004608633],"study_design_scores_gemma":[0.00001548899,0.00001385982,0.0006219138,0.0001962791,0.000008473292,0.0001001769,0.0005106493,0.00003755365,0.00008768486,0.005011963,0.9933593,0.00003671256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001140556,0.001740656,0.0002732623,0.9229456,0.0642496,0.00001318249,0.0001138324,0.0001573363,0.01039243],"genre_scores_gemma":[0.002589257,0.00100027,0.000699173,0.9511997,0.01629001,0.00003988723,0.0001114071,0.0001703777,0.0278999],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9914996,"threshold_uncertainty_score":0.2368386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760450405635572,"score_gpt":0.3747133296613891,"score_spread":0.3271088256050334,"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."}}