{"id":"W2346775587","doi":"10.3389/fpubh.2016.00085","title":"Deep Retraction Pockets, Endometriosis, and Quality of Life","year":2016,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endometriosis; Quality (philosophy); Quality of life (healthcare); Medicine; Computer science; Intensive care medicine; Computational biology; Biology; Pathology; Physics; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007308609,0.000220554,0.0002788901,0.0004913344,0.0001980442,0.0003521657,0.0001738789,0.0002415034,0.001651531],"category_scores_gemma":[0.003093431,0.00007512009,0.0002893078,0.0005636933,0.000254352,0.0002238191,0.0003723362,0.0004178364,0.00008735477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002613687,"about_ca_system_score_gemma":0.0002906806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002432382,"about_ca_topic_score_gemma":0.003498525,"domain_scores_codex":[0.999524,0.0001219967,0.00004112943,0.00005151942,0.0001469366,0.0001145156],"domain_scores_gemma":[0.9982665,0.0002908216,0.000955052,0.00004902403,0.0001352023,0.0003035213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001906715,0.00009675485,0.9917071,0.00005838502,0.000109593,0.00008363123,0.00009791068,0.0000809369,0.0002533715,0.00001367405,0.0001186502,0.007189292],"study_design_scores_gemma":[0.0000115557,0.0001754725,0.9993365,0.0000143008,0.00001896808,0.0001885977,0.00004853814,0.00005595364,0.00002556446,0.00001104359,0.0001109486,0.000002616078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978423,0.001259252,0.00005843877,0.00008749288,0.000005025383,0.00001246587,0.0002709851,0.000002453365,0.0004616565],"genre_scores_gemma":[0.99949,0.0001928201,0.00006588393,0.0000209198,0.00000600266,0.000005670228,0.000149855,4.092516e-7,0.00006842912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002432382,"threshold_uncertainty_score":0.005524874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08244730230678744,"score_gpt":0.367223920831209,"score_spread":0.2847766185244215,"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."}}