{"id":"W7036951768","doi":"","title":"DECONSTRUCTING CASTE-BASED PRIVATE DISCRIMINATION: COMPARATIVE EXAMINATION OF INDIA AND CANADA","year":2023,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Caste; Constitution; State (computer science); Scope (computer science); Statutory law; Constitution of India; Hierarchy; Affirmative action; Social rights; Fundamental 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":[],"consensus_categories":[],"category_scores_codex":[0.0003374004,0.0002537594,0.0005023463,0.0001056219,0.0004847753,0.00002557349,0.0004022571,0.0002556176,0.0003168179],"category_scores_gemma":[0.00009297968,0.0001751044,0.0001066095,0.0004550552,0.0001675207,0.0002437503,0.000104613,0.0003033653,0.000006857798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612336,"about_ca_system_score_gemma":0.0001061009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07254905,"about_ca_topic_score_gemma":0.8733839,"domain_scores_codex":[0.9982969,0.0001772978,0.0002652119,0.0004289242,0.000592448,0.0002392451],"domain_scores_gemma":[0.99839,0.0004571645,0.0006570423,0.00009555463,0.0002947327,0.0001055012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007996412,0.0002467308,0.7824257,0.001088688,0.0005069213,0.00008887012,0.0253058,0.00002842383,0.135935,0.0004438238,0.0004620022,0.05266841],"study_design_scores_gemma":[0.0003360615,0.000113633,0.9409831,0.0002248207,0.00008854437,0.000002124377,0.05127387,0.00001393953,0.006453763,0.00003552376,0.0002148395,0.0002597425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969075,0.00009433786,1.775989e-7,0.0001087789,0.0002340165,0.0003125753,0.0002419758,0.00003007992,0.002070577],"genre_scores_gemma":[0.9967187,0.00001921325,0.0001161856,0.000009901562,0.00004210621,7.402512e-7,0.001045429,0.000003270062,0.002044423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8008349,"threshold_uncertainty_score":0.9336269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391282530922402,"score_gpt":0.2214114024723891,"score_spread":0.187498577163165,"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."}}