{"id":"W3121975356","doi":"","title":"Fake It Till You Make it: Policymaking and Assisted Human Reproduction in Canada","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Parliament; Reimbursement; Legitimacy; Reproduction; Business; Law; Public administration; Political science; Law and economics; Health care; Economics; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008777495,0.0003321572,0.0005218198,0.001620439,0.04304599,0.01240554,0.002452249,0.005889907,0.007246493],"category_scores_gemma":[0.01857465,0.0003440262,0.0003848937,0.004350845,0.02337972,0.003425618,0.00488577,0.007160317,0.0003675584],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2404197,"about_ca_system_score_gemma":0.4286703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951832,"about_ca_topic_score_gemma":0.9962932,"domain_scores_codex":[0.9869449,0.003615748,0.0002772896,0.0006724879,0.003135307,0.005354283],"domain_scores_gemma":[0.9812406,0.00651027,0.001031848,0.0003120372,0.003869578,0.007035723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007904418,0.0001903084,0.02127415,0.0002770209,0.00004317811,0.001392934,0.191431,0.0009395251,0.0004392653,0.6420441,0.09643952,0.04545002],"study_design_scores_gemma":[0.00008923696,0.00009388771,0.06205953,0.001155107,0.00007755585,0.0002908679,0.4086143,0.002207595,0.0005322419,0.06770808,0.4568475,0.0003241162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.24456,0.01698754,0.000910682,0.5221676,0.0008041667,0.0001434071,0.0002751959,0.00003287508,0.2141185],"genre_scores_gemma":[0.9476429,0.004565804,0.0005394701,0.02924816,0.00006177165,0.00002993333,0.00005006706,0.00002372774,0.01783807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2404197,"threshold_uncertainty_score":0.8810055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502149012272653,"score_gpt":0.3082142648839226,"score_spread":0.2831927747611961,"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."}}