{"id":"W2744466085","doi":"","title":"Fake It Till You Make it: Policymaking and Assisted Human Reproduction in Canada","year":2014,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parliament; Reimbursement; Legitimacy; Reproduction; Business; Government (linguistics); Action (physics); Law; Political science; Public administration; Health care; Politics","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":[0.0156857,0.0006353892,0.001009665,0.003466267,0.05912982,0.02379807,0.005210908,0.01996733,0.01248007],"category_scores_gemma":[0.04583248,0.0009580115,0.001214456,0.005791094,0.02530889,0.005673342,0.008914138,0.01769838,0.0006214852],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.3590411,"about_ca_system_score_gemma":0.6658324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998103,"about_ca_topic_score_gemma":0.9982553,"domain_scores_codex":[0.9649465,0.006850885,0.0009924748,0.002039411,0.008740457,0.01643023],"domain_scores_gemma":[0.9476357,0.01727379,0.001846594,0.0007853691,0.01375694,0.01870178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001154305,0.0002589493,0.01486756,0.0002764161,0.00009899535,0.001613883,0.0396489,0.002699248,0.0004867854,0.7814884,0.1282271,0.03021828],"study_design_scores_gemma":[0.0002601441,0.0001441954,0.05055689,0.00163844,0.0002473236,0.0004114111,0.144851,0.008564013,0.0009136532,0.1527752,0.6385669,0.001070872],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08698256,0.01286704,0.001660739,0.6918792,0.001620841,0.0002679375,0.0003980111,0.00007380398,0.2042499],"genre_scores_gemma":[0.8180211,0.005661817,0.002315565,0.1229711,0.0002702979,0.0001342606,0.0001391071,0.00008748432,0.05039921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3590411,"threshold_uncertainty_score":0.7434214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434679643321485,"score_gpt":0.3054140412379677,"score_spread":0.2710672448047528,"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."}}