{"id":"W2616530926","doi":"10.1016/j.conctc.2017.05.005","title":"Sharing some interim data in trial monitoring can mislead or unmask trial investigators: A scenario-based survey of trial experts","year":2017,"lang":"en","type":"article","venue":"Contemporary Clinical Trials Communications","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; Impact","funders":"Canadian Institutes of Health Research","keywords":"Interim; Interim analysis; Event (particle physics); Placebo; Clinical trial; Psychology; Medicine; Computer science; Econometrics; Statistics; Mathematics; Alternative medicine; Internal medicine; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.2442079,0.0006295866,0.0007180469,0.002482637,0.004621384,0.005434724,0.00173709,0.00541662,0.002441746],"category_scores_gemma":[0.3885985,0.001128192,0.001307902,0.001308575,0.003497906,0.007138678,0.006429455,0.005889432,0.0008770691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004075244,"about_ca_system_score_gemma":0.007183292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002744965,"about_ca_topic_score_gemma":0.002017703,"domain_scores_codex":[0.6926793,0.2630072,0.01855604,0.006091608,0.01453378,0.005132021],"domain_scores_gemma":[0.5773599,0.3043261,0.05872198,0.0135421,0.03619578,0.009854038],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001459262,0.0006071637,0.3519651,0.003088915,0.0005380093,0.002025039,0.3841271,0.002449843,0.004148229,0.008676712,0.0471779,0.1937368],"study_design_scores_gemma":[0.0004373491,0.003174872,0.1544067,0.008676067,0.0005165067,0.007145772,0.6050333,0.0171518,0.004436166,0.01933582,0.1786761,0.001009575],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277179,0.0047111,0.03902938,0.1126001,0.0006762626,0.001642808,0.0006994763,0.0002884589,0.0126344],"genre_scores_gemma":[0.9655403,0.001973659,0.01161435,0.01888321,0.0002207818,0.0008468556,0.0002414805,0.0000605507,0.0006189229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7557921,"threshold_uncertainty_score":0.9320261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9806808221974505,"score_gpt":0.73176877105737,"score_spread":0.2489120511400804,"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."}}