{"id":"W1996550338","doi":"10.1177/1740774512455465","title":"Clinician-trialist rounds: 12. When your grant gets turned down - part 2: resurrection","year":2012,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Psychology; Family medicine; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02890819,0.001383756,0.002473248,0.001531349,0.00617447,0.01131349,0.002538265,0.04137708,0.09387738],"category_scores_gemma":[0.1067597,0.001188782,0.002920045,0.0008410749,0.002405996,0.005512452,0.005969922,0.02896499,0.06736315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003845056,"about_ca_system_score_gemma":0.0120089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006479061,"about_ca_topic_score_gemma":0.015985,"domain_scores_codex":[0.9746734,0.00838288,0.002286713,0.001218276,0.008601527,0.004837125],"domain_scores_gemma":[0.9275553,0.0181437,0.004528862,0.004325445,0.01876545,0.02668124],"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":[0.0001935777,0.00004927345,0.000211426,0.00004801965,0.00001238298,0.0002385768,0.00006318521,0.00002496774,0.0001962951,0.0009219571,0.992766,0.00527439],"study_design_scores_gemma":[0.000395139,0.0002269892,0.002138683,0.0003065975,0.0000324644,0.0002366503,0.0003823889,0.0002645449,0.0002149572,0.005399248,0.9902958,0.0001065259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001703702,0.001813151,0.002178281,0.8379946,0.09826551,0.001554172,0.0008333787,0.001313881,0.05434341],"genre_scores_gemma":[0.01057763,0.0009181096,0.003040509,0.7533059,0.05381504,0.00160943,0.0004216208,0.0006448858,0.1756669],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9710918,"threshold_uncertainty_score":0.3140511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4024197639637274,"score_gpt":0.4891600110198175,"score_spread":0.08674024705609013,"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."}}