{"id":"W7042379726","doi":"","title":"Policy Momentum and Transgender Policy Inclusion: Explaining National Policy Change","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transgender; Public policy; Policy studies; Context (archaeology); Elite; Reputation; Policy analysis; Human rights","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":[0.01153615,0.0004568201,0.0004515374,0.00379059,0.00745566,0.01062646,0.001327904,0.00282867,0.006620048],"category_scores_gemma":[0.03080517,0.0004007423,0.0004963928,0.004872609,0.01399783,0.01351618,0.007038423,0.004696221,0.0004286591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02918342,"about_ca_system_score_gemma":0.0231885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05443882,"about_ca_topic_score_gemma":0.037692,"domain_scores_codex":[0.9936311,0.002706862,0.0002644023,0.0007444645,0.001007943,0.001645309],"domain_scores_gemma":[0.9783818,0.01397268,0.003562978,0.000936885,0.001970125,0.001175545],"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":[0.00006049802,0.0001867763,0.04724079,0.0002682194,0.00002829661,0.0005178378,0.08728214,0.002296224,0.0004652719,0.8134785,0.002191995,0.04598349],"study_design_scores_gemma":[0.00005129697,0.0001417704,0.08742872,0.001656333,0.00005973929,0.0002405763,0.251487,0.00954695,0.001476886,0.4932849,0.1544967,0.0001292659],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035134,0.00294357,0.01930672,0.08913244,0.0003798816,0.0003678892,0.000322039,0.0001035713,0.2839306],"genre_scores_gemma":[0.9928207,0.0008348647,0.002365612,0.0009782488,0.00003850701,0.0001256815,0.00006372912,0.00002594614,0.002746761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05443882,"threshold_uncertainty_score":0.2117415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1881381852240371,"score_gpt":0.394449893301347,"score_spread":0.2063117080773099,"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."}}