{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002415681,0.0002383187,0.0003792045,0.00050294,0.0007098975,0.00003986524,0.0005624013,0.0002436625,0.0001639086],"category_scores_gemma":[0.0002998248,0.0001977138,0.0002218246,0.001763982,0.0008937751,0.0007000322,0.0002745692,0.0004255197,0.00001378774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530671,"about_ca_system_score_gemma":0.0007949747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00815191,"about_ca_topic_score_gemma":0.006157252,"domain_scores_codex":[0.9978638,0.00004012273,0.0003749707,0.0006951525,0.0003886872,0.0006372844],"domain_scores_gemma":[0.9976878,0.00004288703,0.0002280723,0.001413252,0.0001844962,0.0004434502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003949619,0.0005157371,0.7835253,0.0002048379,0.0001772933,0.0004371456,0.001137154,0.000003700449,0.00656725,0.1459301,0.03001337,0.03109313],"study_design_scores_gemma":[0.0004013471,0.00009711356,0.5114601,0.00005574054,0.00003026305,0.00006561323,0.0009561372,6.879707e-7,0.04651031,0.0008160246,0.4394347,0.000171996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7923093,0.0001010951,0.00001302442,0.02817916,0.0003371752,0.0005317341,0.00003256071,0.0003477673,0.1781482],"genre_scores_gemma":[0.9495205,0.00002154816,0.0004686891,0.0002495246,0.0001088862,7.335184e-7,0.00004479184,0.00002764638,0.04955768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4094213,"threshold_uncertainty_score":0.9984529,"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."}}