{"id":"W34879191","doi":"10.1056/nejmsa2109779","title":"Abortion Safety and Use with Normally Prescribed Mifepristone in Canada.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital","funders":"Ministry of Health, British Columbia; Institute of Health Services and Policy Research; National Health and Medical Research Council; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Correctness; Wavelet; Wavelet transform; Discrete wavelet transform; Algorism; Computer science; SIGNAL (programming language); Transmission line; Electronic circuit; Electric power transmission; Electronic engineering; Algorithm; Line (geometry); Wavelet packet decomposition; Artificial intelligence; Engineering; Mathematics; Telecommunications; Electrical engineering; Arithmetic","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001488483,0.00007013489,0.00009582286,0.00006429672,0.00004283955,0.00001399393,0.00004756233,0.00001328291,0.000005608695],"category_scores_gemma":[0.0000132876,0.00007528219,0.000005533667,0.0001855986,0.000005368421,0.0001417667,0.00002260227,0.0001323325,2.441331e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000910035,"about_ca_system_score_gemma":0.00005252706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4648624,"about_ca_topic_score_gemma":0.9079311,"domain_scores_codex":[0.9993383,0.00003138174,0.0001450127,0.0001074218,0.0001704255,0.0002074085],"domain_scores_gemma":[0.9997818,0.00001793309,0.00002140344,0.0001119503,0.00000921412,0.00005768289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001019617,0.00006567976,0.4364367,0.0003020557,0.0002194879,0.000351767,0.001817596,0.283324,0.0007243191,0.00008000687,0.006448952,0.2692098],"study_design_scores_gemma":[0.0004093777,0.000005521449,0.9186181,0.000002647444,0.000004728761,0.00003599,0.00007685927,0.00536998,0.0001707285,9.508159e-7,0.07519115,0.0001139686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972983,0.0001490325,0.000812,0.00005169075,0.0004166687,0.0004940346,0.0000276791,0.00009056342,0.0006600332],"genre_scores_gemma":[0.9989524,0.000007832822,0.00002239074,0.00002331442,0.00001422309,0.0007444324,0.000006615488,0.00001627689,0.0002125142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4821813,"threshold_uncertainty_score":0.5387011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005246724141847141,"score_gpt":0.1432704912528854,"score_spread":0.1380237671110382,"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."}}