{"id":"W2906094480","doi":"10.2196/11090","title":"Uptake and Utilization of the Management of Anticoagulation in the Periprocedural Period App: Longitudinal Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Health and Human Services","keywords":"Medicine; Medical emergency","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":[0.00305811,0.0002780755,0.0003473869,0.001585398,0.0006098432,0.001208463,0.0006882646,0.0004695932,0.002560536],"category_scores_gemma":[0.01152612,0.0003733743,0.001198735,0.002377315,0.0002849667,0.001592983,0.001516028,0.001501569,0.000689554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006182746,"about_ca_system_score_gemma":0.001031428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197022,"about_ca_topic_score_gemma":0.02149818,"domain_scores_codex":[0.9982519,0.0004383959,0.000334631,0.0004313344,0.0002815302,0.0002622587],"domain_scores_gemma":[0.9919739,0.001679722,0.003751331,0.0006762655,0.001373275,0.0005454535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000778759,0.00004695933,0.9973513,0.00003547896,0.0001251823,0.00001822186,0.0002411925,0.0000430431,0.00002934056,0.00003814014,0.0005404888,0.001452671],"study_design_scores_gemma":[0.000009745204,0.00009827592,0.9973725,0.00005856219,0.0001217335,0.00009096928,0.000700072,0.0006671536,0.00005599027,0.00004610085,0.0007675665,0.00001121628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916124,0.0004700725,0.0003916625,0.0001740815,0.00001657394,0.00006905893,0.006426202,0.00001382901,0.0008261292],"genre_scores_gemma":[0.9943196,0.0002904534,0.0003773663,0.00009452133,0.00001730064,0.0001566127,0.00434023,0.00001205434,0.0003918537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0197022,"threshold_uncertainty_score":0.03917503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307720564550832,"score_gpt":0.421426463996289,"score_spread":0.2906544075412059,"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."}}