{"id":"W1530320677","doi":"10.13021/g8pppq.272007.161","title":"Assisted Human Reproduction: Lessons of the Canadian Experience","year":2007,"lang":"en","type":"article","venue":"DigitalGeorgetown (Georgetown University Library)","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reproduction; Human reproduction; Political science; Geography; Biology; Ecology; Anatomy","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":[0.01499185,0.0007443145,0.0006295074,0.001691525,0.02574363,0.01017837,0.003323318,0.007948628,0.01550981],"category_scores_gemma":[0.02270004,0.0005222099,0.000520245,0.003623343,0.02286334,0.00418255,0.005544501,0.01166429,0.001539554],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09217357,"about_ca_system_score_gemma":0.2059095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9585096,"about_ca_topic_score_gemma":0.9875368,"domain_scores_codex":[0.9904659,0.003033955,0.00027003,0.000708121,0.00377808,0.001743878],"domain_scores_gemma":[0.979331,0.007188238,0.0004029672,0.0005204493,0.006245014,0.006312347],"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":[0.0001759116,0.0001949893,0.002963915,0.0006214656,0.00004076194,0.00423386,0.05891316,0.0007079358,0.0003920692,0.2694432,0.5005898,0.1617229],"study_design_scores_gemma":[0.00002843788,0.0000395028,0.002112532,0.0006663896,0.00001650632,0.001184243,0.02256769,0.00008275907,0.0001151801,0.01337857,0.9597284,0.00007972377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01495568,0.0696959,0.002702506,0.5642701,0.005478658,0.00006601918,0.0003092891,0.00008055321,0.3424412],"genre_scores_gemma":[0.4275406,0.2888635,0.007887934,0.1367607,0.00302405,0.0001228843,0.0003333395,0.0004490418,0.135018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9078264,"threshold_uncertainty_score":0.6687692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03101584366589144,"score_gpt":0.265025870623999,"score_spread":0.2340100269581075,"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."}}