{"id":"W6958188598","doi":"10.6084/m9.figshare.22625057.v1","title":"Additional file 1 of Coordinating smoking cessation treatment with menstrual cycle phase to improve quit outcomes (MC-NRT): study protocol for a randomized controlled trial","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Randomized controlled trial; Smoking cessation; Protocol (science); Outcome (game theory); Menstrual cycle; Intention-to-treat analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"randomized_trial","genre":"protocol","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005388336,0.001668355,0.002718586,0.0009809746,0.001296626,0.001612429,0.001406867,0.001965168,0.7303132],"category_scores_gemma":[0.02576697,0.001254485,0.001873546,0.001725987,0.0004662204,0.00150577,0.0007043416,0.002188455,0.04321377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426653,"about_ca_system_score_gemma":0.003527199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003114076,"about_ca_topic_score_gemma":0.005813221,"domain_scores_codex":[0.9983107,0.0008155409,0.0002700471,0.0002416881,0.0001732199,0.0001887525],"domain_scores_gemma":[0.9855986,0.009710666,0.001861648,0.0007502704,0.001446023,0.0006328581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.09604418,0.002281861,0.0012711,0.04771048,0.001395935,0.00008796396,0.0002325239,0.001061602,0.0004439509,0.004552899,0.8070989,0.0378186],"study_design_scores_gemma":[0.8248459,0.005176307,0.00696807,0.009888798,0.001828887,0.0001295193,0.0001464996,0.00196284,0.0005421729,0.00858758,0.1397943,0.000129082],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.003685134,0.0009155131,0.003342374,0.001516317,0.000631113,0.1489328,0.826813,0.001021575,0.01314222],"genre_scores_gemma":[0.0304859,0.0009417704,0.01471361,0.002321328,0.0004477406,0.8600631,0.06805988,0.0004083402,0.02255828],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7303132,"threshold_uncertainty_score":0.3846755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319494371272283,"score_gpt":0.3394773629496018,"score_spread":0.3062824192368789,"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."}}