{"id":"W44687729","doi":"","title":"Imagining Immigration without DOMA","year":2010,"lang":"en","type":"article","venue":"Stanford law & policy review","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spouse; Wife; Immigration; Political science; Immigration law; Foreign national; Law","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":[0.001783013,0.000566665,0.0002800117,0.0006512022,0.01054289,0.009644072,0.001045495,0.006417981,0.0182571],"category_scores_gemma":[0.002180339,0.0002793398,0.0004671278,0.0004572002,0.02245679,0.0125514,0.007025145,0.007798923,0.002304284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005235056,"about_ca_system_score_gemma":0.003304333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070087,"about_ca_topic_score_gemma":0.01406837,"domain_scores_codex":[0.9985349,0.0008764262,0.00002472447,0.0001844249,0.0001057699,0.0002736203],"domain_scores_gemma":[0.999168,0.0003725888,0.00006651229,0.00006586102,0.00008530734,0.0002418077],"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":[0.000008784875,0.000009414634,0.0002057511,0.0000250153,0.000001266135,0.0003070637,0.007320789,0.0001030096,0.00005111222,0.9695244,0.01750048,0.004943039],"study_design_scores_gemma":[0.000008744996,0.00001921276,0.0002335753,0.0003625882,0.000004838509,0.0004234309,0.01925214,0.0003693237,0.0001117693,0.3255325,0.6536688,0.00001317307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01042781,0.007256938,0.004435284,0.1485908,0.002960193,0.00001805967,0.00004535753,0.00005556759,0.82621],"genre_scores_gemma":[0.8119038,0.01114694,0.004251447,0.03715247,0.002643521,0.0001087857,0.00008945389,0.0001345635,0.1325691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0182571,"threshold_uncertainty_score":0.0610761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346836168984305,"score_gpt":0.4318484492359737,"score_spread":0.3971648323375431,"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."}}