{"id":"W3170149677","doi":"10.1177/17151635211005503","title":"Pharmacist checklist and resource guide for mifepristone medical abortion: User-centred development and testing","year":2021,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Checklist; Mifepristone; Abortion; Pharmacist; Medical abortion; Resource (disambiguation); Pharmacy; Medicine; Obstetrics; Nursing; Computer science; Psychology; Misoprostol; Pregnancy; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01210383,0.0009299084,0.001489393,0.004987854,0.001176285,0.001358957,0.002239972,0.00217122,0.07512366],"category_scores_gemma":[0.05228164,0.001476813,0.001321826,0.002072881,0.0004341835,0.001570662,0.001873747,0.001817359,0.03821008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331961,"about_ca_system_score_gemma":0.009405954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042081,"about_ca_topic_score_gemma":0.02672761,"domain_scores_codex":[0.9879478,0.004513782,0.003058371,0.0003250164,0.003760878,0.0003943224],"domain_scores_gemma":[0.9378659,0.03584573,0.004887322,0.002387755,0.01743202,0.001581303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003651914,0.0008817419,0.005529547,0.001753247,0.00003426674,0.0004799922,0.0008584671,0.0004765795,0.00118334,0.0009549559,0.5480074,0.4394752],"study_design_scores_gemma":[0.0004515789,0.001043132,0.03874153,0.003223378,0.00008888275,0.001886784,0.0009626317,0.001699471,0.003186326,0.001460875,0.9470576,0.0001977851],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05202946,0.01715637,0.2119441,0.06367698,0.004231994,0.07397498,0.1989364,0.07615126,0.3018985],"genre_scores_gemma":[0.05736683,0.0171401,0.6017814,0.02285013,0.00151374,0.04399263,0.05714814,0.005556906,0.1926501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07512366,"threshold_uncertainty_score":0.2513137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.094855262020109,"score_gpt":0.3948339991604173,"score_spread":0.2999787371403083,"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."}}