{"id":"W1822828451","doi":"10.1111/capa.12066","title":"Invisible populations: <scp>LGBTQ</scp> people and federal health policy in <scp>C</scp>anada","year":2014,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Diversity (politics); Political science; Public policy; Health policy; Population; State (computer science); Public administration; Public relations; Health care; Law; Environmental health; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007112492,0.0002918947,0.0003722091,0.001053219,0.0007803605,0.0004865022,0.0002741244,0.0003404456,0.00007550947],"category_scores_gemma":[0.00237821,0.0003550138,0.00005891205,0.001053194,0.00009849339,0.0005245421,0.00002764464,0.0003953864,0.0001614838],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007964023,"about_ca_system_score_gemma":0.005918064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5826096,"about_ca_topic_score_gemma":0.983453,"domain_scores_codex":[0.9966748,0.000475416,0.0006887216,0.0006003334,0.0002647888,0.001295881],"domain_scores_gemma":[0.9969417,0.0003875959,0.0002791999,0.0005140298,0.00009227294,0.001785133],"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":[0.000001383738,0.00007782666,0.2605842,0.0001855737,0.00001291101,0.00001068831,0.00149518,0.000001184591,0.000003062262,0.5509003,0.1813858,0.005341906],"study_design_scores_gemma":[0.0008312661,0.0002993886,0.5848684,0.000013833,0.000008586562,0.00009933885,0.001125313,0.0001743803,0.000001973131,0.01230399,0.4001762,0.00009740204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7887329,0.0008247848,0.000163063,0.1228757,0.001094859,0.000862513,0.0002039067,0.0001152117,0.08512712],"genre_scores_gemma":[0.9789459,0.0001328925,0.0001378117,0.00908119,0.001049565,0.00008600015,0.0004495231,0.00004918166,0.0100679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5385963,"threshold_uncertainty_score":0.9998902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100622145791299,"score_gpt":0.3470427556111761,"score_spread":0.3060365341532631,"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."}}