{"id":"W6921367178","doi":"10.6084/m9.figshare.c.4690262","title":"Cost analysis and efficacy of recruitment strategies used in a large pragmatic community-based clinical trial targeting low-income seniors: a comparative descriptive analysis","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Formulary; Descriptive statistics; Clinical trial; Pharmacy; Cost analysis; Cost-effectiveness analysis; Baseline (sea); Cost–benefit analysis; Quality (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06350677,0.001467894,0.003236149,0.00354759,0.0007955756,0.001825818,0.00153541,0.001940116,0.008974371],"category_scores_gemma":[0.1422352,0.0006857416,0.007110978,0.003352333,0.001556569,0.002934867,0.001653766,0.001649342,0.0006052785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004532302,"about_ca_system_score_gemma":0.003417408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775717,"about_ca_topic_score_gemma":0.002061382,"domain_scores_codex":[0.8816257,0.09486981,0.01145531,0.002891735,0.00769024,0.001467214],"domain_scores_gemma":[0.8572515,0.1026828,0.02663506,0.005304906,0.006243956,0.001881767],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.6606415,0.02224051,0.09899743,0.02712576,0.05185644,0.0004418599,0.001966594,0.004043692,0.001284081,0.003865326,0.00627952,0.1212572],"study_design_scores_gemma":[0.3182755,0.3787072,0.2065158,0.007421027,0.047435,0.0007358584,0.003938308,0.02062955,0.002122083,0.006340617,0.00725395,0.0006250321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813235,0.01194713,0.01303887,0.00101065,0.0003839215,0.08041525,0.006866827,0.0001477851,0.004866151],"genre_scores_gemma":[0.9439507,0.001157125,0.008194847,0.0006562658,0.000132218,0.04386706,0.001430705,0.0000356276,0.0005756161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9364932,"threshold_uncertainty_score":0.3358599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2833476749011574,"score_gpt":0.4438147751490492,"score_spread":0.1604671002478918,"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."}}