{"id":"W2947332497","doi":"10.1111/jebm.12346","title":"A Chinese practice guideline of the assisted reproductive technology strategies for women with advanced age","year":2019,"lang":"en","type":"article","venue":"Journal of Evidence-Based Medicine","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences; Impact","funders":"","keywords":"Guideline; Fertility; Medicine; Grading (engineering); Family medicine; Assisted reproductive technology; Delphi method; Infertility; Reproductive medicine; Population; Medical education; Pregnancy; Environmental health; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01225897,0.001460685,0.001889799,0.007254741,0.001989027,0.002456045,0.00424745,0.006285278,0.00779757],"category_scores_gemma":[0.02662639,0.0007219989,0.003550926,0.005361933,0.001341191,0.002615677,0.002434462,0.004615641,0.003526192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006050197,"about_ca_system_score_gemma":0.04667787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04137932,"about_ca_topic_score_gemma":0.0577076,"domain_scores_codex":[0.9897833,0.0032382,0.002859463,0.0004668616,0.003226326,0.0004257282],"domain_scores_gemma":[0.9867929,0.003137205,0.001222483,0.0003339815,0.00775716,0.0007562969],"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":[0.0000762751,0.0002155411,0.001883328,0.02744407,0.0002476159,0.001117522,0.002395801,0.0008529125,0.001290109,0.009456249,0.6070069,0.3480136],"study_design_scores_gemma":[0.0004626743,0.0001480275,0.007623453,0.06270225,0.0009937198,0.001819729,0.0009904315,0.001211513,0.000674055,0.007870164,0.9153438,0.0001601123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.008206058,0.3621092,0.07258599,0.2845524,0.02575955,0.04438501,0.01376687,0.001279302,0.1873557],"genre_scores_gemma":[0.05705174,0.3300471,0.3936173,0.09617715,0.003250827,0.04828805,0.02482602,0.0002457728,0.04649606],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04137932,"threshold_uncertainty_score":0.08227694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06425853403512855,"score_gpt":0.4064706327631867,"score_spread":0.3422120987280581,"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."}}