{"id":"W6907840608","doi":"10.25318/1310074601-eng","title":"Birth-related indicators (low and high birth weight, small and large for gestational age, pre-term births), by sex, three-year period, Canada, provinces, territories, census metropolitan areas and metropolitan influence zones","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Table (database); Confidence interval; Birth weight; Demographic analysis","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":[0.0009255974,0.001244089,0.001410271,0.005032879,0.00124094,0.001879673,0.002226605,0.0008499954,0.06825599],"category_scores_gemma":[0.00940642,0.0007260553,0.001005057,0.02045287,0.0003431917,0.0008800376,0.001056619,0.001630269,0.04116685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01143458,"about_ca_system_score_gemma":0.02281496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8825108,"about_ca_topic_score_gemma":0.899235,"domain_scores_codex":[0.9985617,0.00008686986,0.0002030202,0.0002581017,0.000558449,0.000331862],"domain_scores_gemma":[0.9923534,0.0007697469,0.0006102849,0.0005335591,0.005234573,0.0004984724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002647682,0.00001074058,0.002709645,0.000242943,0.00001728155,0.00000690934,0.00001522838,0.0001098426,0.00001610781,0.0002850921,0.9950577,0.001502112],"study_design_scores_gemma":[0.0002337049,0.00001584165,0.06841371,0.0007253246,0.00005701126,0.00004230229,0.0003028999,0.000354384,0.0001810723,0.0004627204,0.9291667,0.00004433589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000970578,0.00002131077,0.00001144038,0.00003287037,0.000008333113,0.000007974721,0.9992747,0.00002352707,0.0005228444],"genre_scores_gemma":[0.0008138536,0.0000971991,0.0001206213,0.00004278247,0.000006014438,0.00007516496,0.9969771,0.00002085892,0.001846408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1174892,"threshold_uncertainty_score":0.2363621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004217158775832815,"score_gpt":0.2315160679247903,"score_spread":0.2272989091489575,"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."}}