{"id":"W4247863409","doi":"10.1007/978-94-024-2068-5_152","title":"Fertility","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Fertility; Political science; Sociology; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003641146,0.0004395405,0.000276031,0.0006023691,0.001344429,0.00139144,0.0005691989,0.0009088087,0.1339186],"category_scores_gemma":[0.0005661886,0.0002318068,0.0002700501,0.0003955999,0.0008367411,0.0008220976,0.001249434,0.001540161,0.07655916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007767369,"about_ca_system_score_gemma":0.00115802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993341,"about_ca_topic_score_gemma":0.005726718,"domain_scores_codex":[0.9998378,0.00003459402,0.0000047074,0.00003266175,0.00006865867,0.00002166453],"domain_scores_gemma":[0.9999142,0.00001897083,0.000003964717,0.00002136184,0.00002471286,0.00001690259],"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":[0.00002697068,0.00004573433,0.0002170238,0.0001296364,0.000004382925,0.000198153,0.0005819836,0.0002536955,0.001078208,0.2339472,0.5025331,0.2609839],"study_design_scores_gemma":[0.000001202673,0.000006451952,0.0001349252,0.00003692077,8.335535e-7,0.0001745114,0.00003464726,0.00002482225,0.0001237788,0.005586483,0.9938736,0.000001888681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003297999,0.002778501,0.001215085,0.001095461,0.000651694,0.00003008909,0.0001279535,0.00008888743,0.9936825],"genre_scores_gemma":[0.002882018,0.001844846,0.0006154925,0.0006133256,0.0001670372,0.00002416781,0.00008990142,0.00002765534,0.9937355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1339186,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995547624682206,"score_gpt":0.2659757557827846,"score_spread":0.2360202795359626,"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."}}