{"id":"W7053540630","doi":"","title":"Wealth Meets Health: Disabled Immigrants and Calculations of ‘Excessive Demand'","year":2007,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Jurisprudence; Legislation; Health law; Precedent; Health care; Health policy; Immigration; Common 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260394,0.000166466,0.0003241265,0.00004868119,0.0002397196,0.00003634825,0.0001215173,0.00004785793,0.0003107732],"category_scores_gemma":[0.000006650174,0.0001428202,0.00007900661,0.0001531632,0.00009872015,0.0001798801,0.0000454531,0.0001574359,0.00001238272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002024483,"about_ca_system_score_gemma":0.00006798524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227781,"about_ca_topic_score_gemma":0.001628189,"domain_scores_codex":[0.9987341,0.00004488229,0.0004201109,0.0002644649,0.0001771496,0.0003593071],"domain_scores_gemma":[0.9990312,0.0001143896,0.0002667542,0.0002427321,0.00006160069,0.0002832807],"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":[0.00006932731,0.0001284162,0.2815232,0.0001484845,0.0001726938,0.000003239003,0.0009647569,0.00007107221,0.005364365,0.7043595,0.001745904,0.005449029],"study_design_scores_gemma":[0.007087062,0.0005087181,0.7462934,0.0006903686,0.0002061602,0.00001982531,0.005793122,0.0008533924,0.03159571,0.1293109,0.07595107,0.001690233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934888,0.001155968,0.0006387969,0.0004995584,0.0002027785,0.0002366822,0.00009025101,0.00002534065,0.003661859],"genre_scores_gemma":[0.9986329,0.00002525709,0.0006067569,0.0003118002,0.0002528548,0.000005393044,0.00004636292,0.000016654,0.0001020294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5750486,"threshold_uncertainty_score":0.9942995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351680616088807,"score_gpt":0.2857821576548346,"score_spread":0.2722653514939465,"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."}}