{"id":"W6931937961","doi":"10.5683/sp3/gcry1u","title":"Search strategies for transnational families and pregnancy, childbirth and postpartum care / Stratégies de recherche sur les familles transnationales, la grossesse, l'accouchement et les soins postnataux","year":2025,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"PsycINFO; CINAHL; MEDLINE; Childbirth; Health care; Postpartum period","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":[0.009491947,0.002164108,0.003436283,0.0243239,0.001601437,0.004353591,0.00368583,0.002449095,0.05678067],"category_scores_gemma":[0.06001282,0.00100105,0.003929889,0.02698736,0.0007487661,0.00252464,0.003459093,0.002135344,0.02145978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00508429,"about_ca_system_score_gemma":0.01645965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05694478,"about_ca_topic_score_gemma":0.1217033,"domain_scores_codex":[0.9921201,0.002326997,0.003097423,0.0009679575,0.001017857,0.000469702],"domain_scores_gemma":[0.9744478,0.0164263,0.002962582,0.001916084,0.003515507,0.000731579],"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":[0.0007254616,0.00008184966,0.003878066,0.06168769,0.0006403452,0.0001326474,0.0006612332,0.0006215661,0.000496042,0.004034286,0.8991032,0.02793765],"study_design_scores_gemma":[0.001196577,0.0000773804,0.01112331,0.01526722,0.0007394812,0.0002515519,0.000836049,0.0007107501,0.0006986281,0.002721716,0.966276,0.0001013066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005787665,0.002442339,0.0003261794,0.0004337273,0.00004256757,0.0003828747,0.993176,0.0002292081,0.002388233],"genre_scores_gemma":[0.003674049,0.002799984,0.005200715,0.0003706527,0.00002807443,0.004178206,0.9813429,0.000175611,0.002229863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05694478,"threshold_uncertainty_score":0.1899502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089496237159805,"score_gpt":0.3693654236757988,"score_spread":0.2604157999598183,"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."}}