{"id":"W2131434634","doi":"10.1177/1740774511419685","title":"Clinician-trialist rounds: 6. Testing for blindness at the end of your trial is a mug's game","year":2011,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakes Environmental (Canada)","funders":"","keywords":"Placebo; Sulfinpyrazone; Medicine; Randomized controlled trial; Statistician; Aspirin; Stroke (engine); Odds; Blindness; Psychology; Alternative medicine; Surgery; Internal medicine; Optometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.7266719,0.0004198643,0.01245246,0.000210617,0.0002464417,0.0005363568,0.00334508,0.0004293813,0.01648361],"category_scores_gemma":[0.8713491,0.0001645028,0.0112267,0.001368579,0.0005368826,0.0001827651,0.0003807072,0.0003189966,0.001608604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002951039,"about_ca_system_score_gemma":0.0003626705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004809369,"about_ca_topic_score_gemma":0.00004518942,"domain_scores_codex":[0.8294442,0.08795041,0.07405871,0.002339085,0.005571085,0.0006364587],"domain_scores_gemma":[0.2600282,0.6565013,0.06650779,0.0114116,0.00493101,0.0006201507],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04684719,0.002563711,0.04168095,0.0001680844,0.003948031,0.00001046699,0.003276858,0.000007687406,0.000146973,0.005102111,0.4242739,0.471974],"study_design_scores_gemma":[0.1136828,0.005493896,0.009021911,0.00030616,0.008490797,0.00001284452,0.0021281,0.00283673,0.000490732,0.1897857,0.6666291,0.001121234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261416,0.001885574,0.01331753,0.003438296,0.01827666,0.01677028,0.0008011508,0.00002999379,0.01933891],"genre_scores_gemma":[0.9229053,0.00009563926,0.01440955,0.002963566,0.01013717,0.0006135796,0.00002518041,0.00007666073,0.04877336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5694161,"threshold_uncertainty_score":0.9991688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9912957120345727,"score_gpt":0.7319714306455353,"score_spread":0.2593242813890374,"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."}}