{"id":"W2801827938","doi":"10.1016/j.jogc.2018.04.002","title":"Cross-Cultural Adaptation of the Cardiff Fertility Knowledge Scale and the Fertility Status Awareness Tool for the French-Canadian Population","year":2018,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Medicine; Fertility; Adaptation (eye); Scale (ratio); Population; Demography; Gynecology; Environmental health; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005003483,0.0006207823,0.0006425082,0.002133437,0.003234287,0.001474098,0.001192706,0.0004957353,0.004308358],"category_scores_gemma":[0.008804291,0.0003856259,0.002055879,0.00240596,0.0009129725,0.0005574989,0.001882963,0.00110229,0.0003626749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01600423,"about_ca_system_score_gemma":0.02672755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9347696,"about_ca_topic_score_gemma":0.9594312,"domain_scores_codex":[0.9975609,0.0005266839,0.0002614074,0.0002284938,0.0008813577,0.0005412816],"domain_scores_gemma":[0.9955937,0.0006649261,0.0003941791,0.0001582975,0.002684945,0.000503951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007203062,0.0007503991,0.8633398,0.0006166875,0.0005308855,0.0005343272,0.02520589,0.0007285933,0.001143887,0.001340017,0.01276802,0.09232113],"study_design_scores_gemma":[0.00008428147,0.0001772342,0.9832599,0.0002090222,0.0001107907,0.0001698276,0.006789152,0.0003618487,0.0002371748,0.0001506454,0.008388898,0.00006120688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982044,0.0009463215,0.0008833742,0.0007383068,0.0001603379,0.001070367,0.003576922,0.00004019437,0.01054012],"genre_scores_gemma":[0.9807555,0.001105613,0.005938329,0.0004425654,0.00003917161,0.00190105,0.003980134,0.00003996478,0.005797637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06523043,"threshold_uncertainty_score":0.1312291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02863302755569852,"score_gpt":0.3044627900546686,"score_spread":0.2758297624989701,"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."}}