{"id":"W4283714753","doi":"10.2196/39288","title":"Effectiveness of Artificial Intelligence–Assisted Decision-making to Improve Vulnerable Women’s Participation in Cervical Cancer Screening in France: Protocol for a Cluster Randomized Controlled Trial (AppDate-You)","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Health Organization","keywords":"Medicine; Cervical cancer; Randomized controlled trial; Family medicine; Population; Cluster (spacecraft); Disadvantaged; Health care; Gynecology; Cancer; Environmental health; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02039267,0.005333242,0.00992773,0.001899807,0.002157151,0.003277981,0.00247327,0.005121924,0.05466296],"category_scores_gemma":[0.02140653,0.002011672,0.005857406,0.001855629,0.002922899,0.002350743,0.001726864,0.004681769,0.005251859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004624456,"about_ca_system_score_gemma":0.009083317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003406771,"about_ca_topic_score_gemma":0.004132676,"domain_scores_codex":[0.9842548,0.009639118,0.001637266,0.001453814,0.001229524,0.001785512],"domain_scores_gemma":[0.9916054,0.003013752,0.001651054,0.0009653724,0.001826364,0.0009381416],"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":[0.9581338,0.01098737,0.0003702224,0.008209655,0.001689359,0.00006833694,0.0002146278,0.00124797,0.0006561657,0.001069798,0.004595255,0.01275729],"study_design_scores_gemma":[0.967525,0.02283064,0.0008008722,0.0008090289,0.0006749891,0.00001174634,0.00006145717,0.001083529,0.0003036144,0.0007143779,0.005145493,0.0000393402],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.009358637,0.0003045634,0.001123896,0.0002274786,0.0003866552,0.9865264,0.001090222,0.0001273842,0.0008546948],"genre_scores_gemma":[0.005127847,0.00008229942,0.001446809,0.0001062924,0.00004479678,0.9927273,0.0001122871,0.000005244429,0.0003472354],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05466296,"threshold_uncertainty_score":0.1828658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1546476753911282,"score_gpt":0.5767693549025861,"score_spread":0.4221216795114578,"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."}}