{"id":"W3143600231","doi":"10.71781/4478","title":"Utilisation de la reproduction médicalement assistée, les grossesses multiples et les malformations congénitales majeures","year":2020,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gynecology; Reproduction; Medicine; Biology; Genetics","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":[0.001463704,0.0004594767,0.0006236082,0.001265447,0.00106761,0.001338622,0.0005795744,0.0007052577,0.007349819],"category_scores_gemma":[0.005322306,0.0002873944,0.0005911182,0.001639757,0.001471487,0.0005011341,0.0009210522,0.0008269133,0.0004092872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002899733,"about_ca_system_score_gemma":0.005446939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2278543,"about_ca_topic_score_gemma":0.3330641,"domain_scores_codex":[0.9981287,0.0003671358,0.00007911977,0.0003105959,0.0008845943,0.000229847],"domain_scores_gemma":[0.9966354,0.001316624,0.0009143938,0.0001773547,0.0005611912,0.000395037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005316906,0.0001445249,0.6762981,0.001551799,0.0005405786,0.002188443,0.002465387,0.0009725553,0.007111171,0.003734619,0.006170482,0.2982907],"study_design_scores_gemma":[0.00002662302,0.0005107943,0.9169501,0.001320166,0.0003147812,0.01172879,0.002808755,0.0006982672,0.002776305,0.001020071,0.0617707,0.00007457964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8705104,0.09432776,0.00331116,0.004271556,0.000310681,0.0001061015,0.003570772,0.0001219028,0.02346966],"genre_scores_gemma":[0.937558,0.04676485,0.003079517,0.0006637957,0.0001112344,0.00006858103,0.001519836,0.00003693922,0.01019727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2278543,"threshold_uncertainty_score":0.4530561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282826860619499,"score_gpt":0.2298676731962796,"score_spread":0.2170394045900846,"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."}}