{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001234715,0.0002956212,0.0002926387,0.002154197,0.005161965,0.0002264971,0.000918825,0.0001569216,0.000115217],"category_scores_gemma":[0.0001563018,0.0003832436,0.0001431298,0.002259951,0.0003150548,0.001740543,0.001160518,0.0008209227,0.00002563924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517585,"about_ca_system_score_gemma":0.001651556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015828,"about_ca_topic_score_gemma":0.004112903,"domain_scores_codex":[0.9959554,0.001065414,0.000243452,0.0005702102,0.00125806,0.0009074703],"domain_scores_gemma":[0.9988549,0.0001552152,0.000113105,0.0002286119,0.0001192784,0.0005289325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001857588,0.0002231931,0.6640873,0.00005763712,0.0001339772,0.0001769504,0.2136638,0.00009095523,0.0005943171,0.115028,0.000003855067,0.005754206],"study_design_scores_gemma":[0.003353939,0.0003283086,0.7518875,0.00008795051,0.00007198676,0.00007011843,0.0206463,0.000001981888,0.0001558506,0.008137089,0.2140343,0.001224666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693595,0.000107569,0.0001020463,0.01952048,0.0001499756,0.0003899086,0.000114529,0.0002308963,0.0100251],"genre_scores_gemma":[0.9866815,0.0002163065,0.00001153165,0.003655847,0.001506818,0.00001187167,0.00002804906,0.00004328183,0.007844754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2140305,"threshold_uncertainty_score":0.999862,"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."}}