{"id":"W4400452931","doi":"10.1136/bmjebm-2024-sdc.182","title":"183 Challenges and levers influencing clinical setting recruitment for a shared decision-making stepped wedge cluster randomized trial","year":2024,"lang":"en","type":"article","venue":"","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux","funders":"","keywords":"Wedge (geometry); Randomized controlled trial; Cluster (spacecraft); Computer science; Cluster randomised controlled trial; Medicine; Physics; Internal medicine; Computer network; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.51702,0.0008971944,0.001729564,0.001580969,0.004865358,0.006770021,0.004985348,0.005283786,0.01001909],"category_scores_gemma":[0.5110025,0.00145861,0.003154411,0.002671378,0.005711626,0.005717351,0.006292379,0.004560359,0.001337037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009309247,"about_ca_system_score_gemma":0.03937379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002779076,"about_ca_topic_score_gemma":0.005649216,"domain_scores_codex":[0.279916,0.6748426,0.02262166,0.005039344,0.0127198,0.004860551],"domain_scores_gemma":[0.4339349,0.4824965,0.02708266,0.02702416,0.02260021,0.006861516],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0239914,0.005167362,0.03203971,0.06860481,0.003547615,0.00217055,0.1088207,0.01088257,0.003797754,0.09121243,0.08159278,0.5681723],"study_design_scores_gemma":[0.0549187,0.04773486,0.03859887,0.1171826,0.003859516,0.001485706,0.128013,0.07483944,0.01042398,0.2188093,0.3023326,0.001801462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.1406612,0.004371991,0.2211546,0.1016859,0.004415708,0.5053557,0.001607492,0.000614857,0.02013249],"genre_scores_gemma":[0.2352705,0.0006608486,0.3236075,0.01626083,0.000529517,0.4223895,0.0002790006,0.00007615505,0.0009262087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.48298,"threshold_uncertainty_score":0.5956003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6148077186833618,"score_gpt":0.6175157289352445,"score_spread":0.00270801025188272,"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."}}