{"id":"W2135204977","doi":"10.1017/s0008423905339990","title":"Comparative Biomedical Policy: Governing Assisted Reproductive Technologies","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reproductive technology; Morality; Newspaper; Field (mathematics); Bioethics; Sociology; Human cloning; Political science; Environmental ethics; Payment; Engineering ethics; Law; Public relations; Engineering; Business; Biology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.001038686,0.0001253625,0.0003816726,0.00106317,0.0002844505,0.00004359089,0.000426211,0.0001148786,0.00003778228],"category_scores_gemma":[0.01240785,0.00009181158,0.00007157724,0.001591149,0.004874864,0.0003024235,0.0000458753,0.0006163769,0.00003968502],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946706,"about_ca_system_score_gemma":0.01109009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005615016,"about_ca_topic_score_gemma":0.001115746,"domain_scores_codex":[0.9974999,0.00002657145,0.0004206452,0.0003441524,0.0005274242,0.001181262],"domain_scores_gemma":[0.997107,0.00007403863,0.0001661348,0.0003830054,0.0006724406,0.001597426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007310564,0.0001509068,0.01815969,0.00004830895,0.00005296952,0.0004100257,0.000737627,0.00000423214,0.01521151,0.9012199,0.005342776,0.05858893],"study_design_scores_gemma":[0.0008271062,0.001381117,0.7982885,0.0002094592,0.00004550669,0.00538329,0.006258577,0.00007750165,0.05102072,0.009508315,0.1267266,0.0002732612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195054,0.0006465751,0.0002097855,0.1716131,0.0002514675,0.0001774047,0.00001585432,0.0000789266,0.007501415],"genre_scores_gemma":[0.9925478,0.000007332545,0.006032446,0.0006574971,0.0005921466,0.000002211353,5.730521e-7,0.000005669936,0.0001542875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8917116,"threshold_uncertainty_score":0.9978333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05370923042299457,"score_gpt":0.3690302977072814,"score_spread":0.3153210672842868,"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."}}