{"id":"W6960450330","doi":"10.1371/journal.pone.0274355.g001","title":"CAMCCO—Quebec, Manitoba, Saskatchewan, and Alberta—Annual rates of prematurity and low birth weight (LBW).","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Low birth weight; Birth weight; Premature birth; Missing data; Neonatal mortality; Population","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":[0.0005716844,0.00123562,0.0005280846,0.002365078,0.001634855,0.001101223,0.002244272,0.0005231597,0.03800562],"category_scores_gemma":[0.001673681,0.0004634539,0.0004456647,0.007054396,0.0004450684,0.0004130625,0.0006406368,0.001239958,0.007132891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02425113,"about_ca_system_score_gemma":0.04219359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968941,"about_ca_topic_score_gemma":0.9983712,"domain_scores_codex":[0.9995234,0.00003468394,0.00002978951,0.00007605611,0.000159029,0.0001769634],"domain_scores_gemma":[0.997319,0.0001211757,0.0002571034,0.00008801811,0.001519408,0.0006951702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001898061,0.0000550365,0.05510222,0.0002655177,0.00009660239,0.00008467132,0.0001170237,0.0003987911,0.0002685622,0.001455953,0.9141319,0.02783393],"study_design_scores_gemma":[0.0003422048,0.00004393612,0.5978398,0.0006249754,0.000101802,0.0001274208,0.001041609,0.001032745,0.000420432,0.0003124645,0.3980483,0.00006434567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01955595,0.004071545,0.0005757918,0.001842976,0.0005620549,0.0004371426,0.902481,0.0005357019,0.06993786],"genre_scores_gemma":[0.161842,0.007483408,0.005944475,0.002245113,0.0002006044,0.000903237,0.6168663,0.0004514865,0.2040634],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03800562,"threshold_uncertainty_score":0.1759551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251862645142209,"score_gpt":0.2017538312201115,"score_spread":0.1892352047686894,"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."}}