{"id":"W3080113502","doi":"10.1186/s13063-020-04666-8","title":"Prediction of RECRUITment In randomized clinical Trials (RECRUIT-IT)—rationale and design for an international collaborative study","year":2020,"lang":"en","type":"article","venue":"Trials","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; McMaster University; Impact","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Aristotle University of Thessaloniki; University of Oxford; University of Memphis; Cancer Center, University of Kansas; Université de Lausanne; Glasgow Caledonian University; McMaster University; Université de Sherbrooke; University of Bern; University of Aberdeen; Universität Basel","keywords":"Randomized controlled trial; Medicine; Sample size determination; External validity; Research design; Clinical trial; Patient recruitment; Protocol (science); Alternative medicine; Psychology; Surgery; Statistics; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.283533,0.00012894,0.002817818,0.0001321978,0.00003488164,0.00003287695,0.0001545297,0.0002811695,0.000179099],"category_scores_gemma":[0.6916227,0.00009284459,0.0002818569,0.0002295898,0.0002213875,0.0001268568,0.00005903958,0.000502814,0.000003295721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005397303,"about_ca_system_score_gemma":0.000942264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001377198,"about_ca_topic_score_gemma":0.0000357682,"domain_scores_codex":[0.9610958,0.02973787,0.006989087,0.0007164528,0.001256586,0.0002041973],"domain_scores_gemma":[0.5688012,0.4269431,0.00171091,0.0003675244,0.001792763,0.0003844762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9570624,0.003121462,0.006957158,0.0001504173,0.001726208,0.000008730494,0.006431909,0.0001081659,0.002761652,0.005825577,0.003616386,0.01222992],"study_design_scores_gemma":[0.9313174,0.01515882,0.003759947,0.0003217567,0.0009783102,0.00000124518,0.004502129,0.01287672,0.002322072,0.02638854,0.002202947,0.0001701008],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.497709,0.001198923,0.1101292,0.1062444,0.003873002,0.2762908,0.00204287,0.0001636808,0.002348179],"genre_scores_gemma":[0.9531106,0.003904537,0.02997963,0.001757958,0.002397702,0.008153817,0.0002161727,0.0000409967,0.0004385818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4554016,"threshold_uncertainty_score":0.7377536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9632727744895985,"score_gpt":0.7275792617566281,"score_spread":0.2356935127329703,"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."}}