{"id":"W6958399673","doi":"10.6084/m9.figshare.22625063.v1","title":"Additional file 2 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":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","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; Protocol (science); Smoking cessation; Menstrual cycle; Intention-to-treat analysis; N of 1 trial","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001640279,0.0001544057,0.0004988292,0.000088653,0.0001414085,0.00006029444,0.000108448,0.00002573779,0.7819601],"category_scores_gemma":[0.001003305,0.00009720941,0.0001206338,0.0001258572,0.00000849242,0.0001427385,0.00002329443,0.00003311609,0.0002022406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001734271,"about_ca_system_score_gemma":0.00003127687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009299742,"about_ca_topic_score_gemma":0.00007697916,"domain_scores_codex":[0.9988077,0.00009046428,0.0003371137,0.0002616548,0.0003133348,0.000189788],"domain_scores_gemma":[0.9967182,0.002798475,0.0002517218,0.0001417481,0.00002572466,0.00006408316],"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":[0.3280685,0.0005328215,0.0003144435,0.00008338795,0.0004211169,0.00001270151,0.0002330485,0.0009791651,7.042946e-7,3.89017e-7,0.6447092,0.02464455],"study_design_scores_gemma":[0.9638605,0.003920952,0.002341545,0.0002836174,0.00005343986,2.748993e-7,0.0004521825,0.003710497,0.00001438516,0.000007212144,0.02520614,0.0001492243],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.001821812,3.043585e-7,0.000001147927,0.00001393621,0.00003558451,0.1658969,0.8316976,0.00004249302,0.0004902059],"genre_scores_gemma":[0.01674524,1.51009e-8,0.0002099531,0.000008903035,0.00009886055,0.5408263,0.4415195,0.000004860447,0.0005863698],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7817578,"threshold_uncertainty_score":0.3964085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520004478770185,"score_gpt":0.310308002082642,"score_spread":0.2751079572949401,"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."}}