{"id":"W7162022066","doi":"10.82308/32931","title":"Association between income and hospital burden for childbirth in Canada","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Research methodology; Childbirth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001140433,0.0002486612,0.0004495052,0.002294583,0.002260533,0.001577738,0.001482877,0.0003674058,0.004918938],"category_scores_gemma":[0.006889253,0.0003103068,0.0007424647,0.006355811,0.0008444271,0.0003173054,0.001336468,0.0008679963,0.0002589024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03740025,"about_ca_system_score_gemma":0.05260704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957417,"about_ca_topic_score_gemma":0.9963714,"domain_scores_codex":[0.9984481,0.000149662,0.0001372579,0.0001943716,0.0005300975,0.0005404059],"domain_scores_gemma":[0.9936486,0.0005047154,0.001740661,0.0002431959,0.002678641,0.001184115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004542558,0.000009845871,0.9947536,0.00004242856,0.00005994152,0.00004834227,0.0003034036,0.0001234817,0.00003288841,0.0002145803,0.001751517,0.002614553],"study_design_scores_gemma":[0.000005097595,0.000006897,0.9979519,0.00004905417,0.00002639496,0.000027072,0.0006474036,0.00023098,0.00002279087,0.00003972543,0.0009858931,0.000006898815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661132,0.002575123,0.0002685106,0.002702379,0.00005181903,0.00007619469,0.02050971,0.00003947346,0.007663665],"genre_scores_gemma":[0.9918988,0.001408765,0.0002744017,0.000185926,0.00001445018,0.00003629971,0.004114161,0.00001306778,0.002054075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03740025,"threshold_uncertainty_score":0.271359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008555699154618464,"score_gpt":0.2986180338077177,"score_spread":0.2900623346530992,"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."}}