{"id":"W4385622344","doi":"10.1101/2023.08.06.552185","title":"Environmental effects on reproductive performance in preindustrial women","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke; Bishop's University","funders":"","keywords":"Offspring; Demography; Reproduction; Reproductive success; Urbanity; Geography; Fertility; Rural area; Ecology; Pregnancy; Medicine; Biology; Population; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003964225,0.0001635083,0.0002310299,0.000358099,0.0003724805,0.0004014973,0.0002394404,0.0002101358,0.003328415],"category_scores_gemma":[0.0014739,0.00009299115,0.0002030619,0.0006969622,0.0002012289,0.0001602549,0.0003329215,0.0003542904,0.0002747356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005462525,"about_ca_system_score_gemma":0.0004001809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08897837,"about_ca_topic_score_gemma":0.1509721,"domain_scores_codex":[0.9998285,0.00004500497,0.000007448137,0.00004373195,0.00002331821,0.00005199144],"domain_scores_gemma":[0.999393,0.0001548887,0.0001657627,0.00006240753,0.00008986754,0.0001342055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002252106,0.00003005613,0.9890363,0.00004211114,0.0001405076,0.0000961487,0.0002787155,0.00009457522,0.000748411,0.00006145306,0.0008785862,0.008367869],"study_design_scores_gemma":[0.000001241516,0.00001868012,0.9994999,0.000005662449,0.000006575644,0.00001916989,0.00008092489,0.00002556035,0.00002580757,0.00001605138,0.0002988401,0.000001599675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921206,0.00100535,0.0001312147,0.0002474724,0.00001367793,0.00001020302,0.00499469,0.000007961794,0.001468766],"genre_scores_gemma":[0.9967654,0.0003794598,0.0001628371,0.00008063464,0.00001393068,0.00001537925,0.001663735,0.000004445237,0.0009142157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08897837,"threshold_uncertainty_score":0.176921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251151103658554,"score_gpt":0.2392265317041191,"score_spread":0.2167150206675335,"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."}}