{"id":"W2965052442","doi":"10.1177/1740774519862528","title":"Impact of retrospective data verification to prepare the ICON6 trial for use in a marketing authorization application","year":2019,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Canadian Cancer Society Research Institute; Cancer Research UK; Cancer Australia; AstraZeneca","keywords":"Placebo; Medicine; Clinical endpoint; Clinical trial; Randomized controlled trial; Medical physics; Oncology; Internal medicine; Alternative medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"reproducibility","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"reproducibility","study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5953536,0.001138969,0.002141568,0.002051485,0.001731465,0.009961165,0.0039331,0.0052978,0.008474237],"category_scores_gemma":[0.6478142,0.00110258,0.004326477,0.0035891,0.002501776,0.005457563,0.003108379,0.00820587,0.003862756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004087379,"about_ca_system_score_gemma":0.01435334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009907046,"about_ca_topic_score_gemma":0.001421138,"domain_scores_codex":[0.3032701,0.5721598,0.06051103,0.007796796,0.05301433,0.003248045],"domain_scores_gemma":[0.2227739,0.4247681,0.14371,0.1204671,0.081404,0.006876782],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1305414,0.001884926,0.04144288,0.01046503,0.002936527,0.0007272721,0.003152031,0.004463174,0.003739179,0.01844628,0.1498144,0.6323869],"study_design_scores_gemma":[0.04623778,0.03647705,0.1351309,0.02410422,0.004798797,0.002538112,0.001329104,0.01440691,0.02085896,0.02233486,0.6911291,0.0006541696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2226961,0.04408174,0.1949482,0.204462,0.02754406,0.1271874,0.03365865,0.005394827,0.140027],"genre_scores_gemma":[0.694765,0.004427217,0.1536005,0.05800526,0.00576631,0.05947649,0.01272786,0.001568068,0.009663293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4046464,"threshold_uncertainty_score":0.4990011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4097281073983038,"score_gpt":0.5655719793965981,"score_spread":0.1558438719982942,"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."}}