{"id":"W2753449397","doi":"10.1038/s41598-017-11432-5","title":"Impact of maternal obesity on the incidence of pregnancy complications in France and Canada","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"Centre de recherche du CHU Sainte-Justine; Collège National des Gynécologues et Obstétriciens Français","keywords":"Incidence (geometry); Obesity; Pregnancy; Obstetrics; Medicine; Gynecology; Biology; Internal medicine; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003122427,0.00003138878,0.00007586023,0.00003956373,0.0001086132,0.00002558491,0.00008244599,0.000006680465,0.00002543018],"category_scores_gemma":[0.0003411326,0.00001961183,0.00001724521,0.00004479478,0.0001928017,0.00004044664,0.00004986627,0.00003842183,4.300101e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003280958,"about_ca_system_score_gemma":0.0002997354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1992572,"about_ca_topic_score_gemma":0.05974699,"domain_scores_codex":[0.9992805,0.00001062635,0.0001525233,0.0001340408,0.0003347706,0.00008755908],"domain_scores_gemma":[0.9990922,0.00002882114,0.0001755408,0.000532739,0.0001269822,0.00004373699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002206132,0.00003693595,0.9950513,0.00005137549,0.000007466369,0.0000397473,0.00002632457,0.00001919966,0.002806983,0.0001542851,0.001079428,0.0007247042],"study_design_scores_gemma":[0.00005884596,0.00002613525,0.9958169,0.0002807014,0.000002395055,0.000005965273,0.000007126669,0.00008418325,0.002587026,0.001013989,0.0001015299,0.00001515155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978215,0.00005195877,0.000005638003,0.0003660166,0.0001070166,0.0002456873,0.000006013619,0.000001020975,0.001395178],"genre_scores_gemma":[0.9989521,0.000006913147,0.00003972544,0.000007126554,0.000002120501,0.000009401308,0.000003955891,0.000001364111,0.0009772765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1395102,"threshold_uncertainty_score":0.9574102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166862610403253,"score_gpt":0.317165443197783,"score_spread":0.2954968170937505,"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."}}