{"id":"W7008229050","doi":"","title":"Bench research versus clinical trials: Where should Canadian grant dollars go?","year":2000,"lang":"en","type":"article","venue":"PubMed Central","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bench to bedside; MEDLINE","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":[0.1027951,0.001522634,0.004153409,0.006186777,0.01170176,0.03701947,0.006371357,0.03976484,0.04321117],"category_scores_gemma":[0.3180703,0.001417595,0.001778293,0.009677411,0.02078605,0.0221002,0.009492682,0.02498348,0.004727785],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06627648,"about_ca_system_score_gemma":0.3760028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7392135,"about_ca_topic_score_gemma":0.8476627,"domain_scores_codex":[0.9346075,0.01917544,0.006577402,0.002639922,0.02574367,0.01125603],"domain_scores_gemma":[0.6046229,0.1806309,0.01390725,0.009473084,0.1197431,0.07162271],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003135335,0.00005746799,0.0009749794,0.001324612,0.000126317,0.0001281407,0.0005151415,0.0001743001,0.0000992776,0.1643782,0.77232,0.05958804],"study_design_scores_gemma":[0.0007349689,0.00009723978,0.003998307,0.008012855,0.0004198706,0.0001303055,0.002963415,0.0004552435,0.0001711028,0.09728378,0.8854409,0.0002919516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004754735,0.01673655,0.0004553318,0.9416412,0.01505817,0.00008402128,0.0003470921,0.0000870962,0.02511505],"genre_scores_gemma":[0.0531942,0.04801707,0.00811501,0.8290805,0.02151087,0.0003624224,0.0006276537,0.0003055164,0.03878679],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9337235,"threshold_uncertainty_score":0.5436391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6612019249698601,"score_gpt":0.5638416177988849,"score_spread":0.09736030717097521,"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."}}