{"id":"W2263691857","doi":"10.1016/s1701-2163(15)30805-7","title":"Core Outcomes for Clinical Trials: Moving Ahead","year":2013,"lang":"en","type":"editorial","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Look-ahead; Nice; Core (optical fiber); Public relations; Telecommunications; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2407908,0.006018419,0.01742225,0.009622899,0.006912867,0.03390908,0.01172,0.05785087,0.009818074],"category_scores_gemma":[0.451442,0.003268263,0.008678447,0.007956321,0.01643982,0.017287,0.005680526,0.07193279,0.00700992],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01726132,"about_ca_system_score_gemma":0.04048659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005848236,"about_ca_topic_score_gemma":0.01601776,"domain_scores_codex":[0.7859271,0.1144575,0.03349147,0.00743183,0.0544293,0.004262844],"domain_scores_gemma":[0.2632182,0.5329378,0.02155154,0.01180908,0.143926,0.02655733],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001212086,0.00002489654,0.00004089593,0.002489857,0.0001332355,0.00005853068,0.0000839897,0.00003765713,0.00003034479,0.002147694,0.9809902,0.01384151],"study_design_scores_gemma":[0.001074247,0.0001641766,0.0006364587,0.01389349,0.0008193013,0.0003004687,0.0005909947,0.0008011619,0.0001660413,0.02374239,0.9576048,0.0002066143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002388606,0.02612884,0.0006619769,0.115416,0.857084,0.00008532149,0.00005764107,0.00007587116,0.0004665229],"genre_scores_gemma":[0.0006458951,0.013703,0.001699057,0.06000577,0.9216809,0.0002570426,0.00003141416,0.00008077228,0.001896144],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9827387,"threshold_uncertainty_score":0.9362401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2986315244340607,"score_gpt":0.5171244659929408,"score_spread":0.2184929415588802,"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."}}