{"id":"W2983026857","doi":"10.1093/oso/9780199485079.001.0001","title":"Appointment of Judges to the Supreme Court of India","year":2018,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Law; Judicial independence; Political science; Constitution; Context (archaeology); Doctrine; Judicial review; Constitutional law; Constitution of India; Separation of powers; Independence (probability theory); Judicial activism; Judicial opinion; History","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":[0.001243713,0.0002101085,0.0001534626,0.001466193,0.009264577,0.006958314,0.001201388,0.001273065,0.003137846],"category_scores_gemma":[0.004440173,0.0004978267,0.0003435248,0.002404294,0.004243886,0.001284682,0.002234837,0.005642781,0.001032012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01057433,"about_ca_system_score_gemma":0.01025409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09426751,"about_ca_topic_score_gemma":0.2499028,"domain_scores_codex":[0.9976448,0.0004603227,0.0001004461,0.0003128897,0.0005944184,0.0008870041],"domain_scores_gemma":[0.9986958,0.0006398989,0.00009576028,0.0001121673,0.0002697358,0.0001867112],"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":[0.0000451084,0.00001865775,0.00259329,0.00009249641,0.00001002517,0.0009839799,0.02822744,0.0003325791,0.0008064431,0.8329543,0.1086076,0.02532804],"study_design_scores_gemma":[0.00001229431,0.0000262944,0.01227392,0.0001936704,0.00002972783,0.0002618806,0.0146367,0.0002511653,0.001105648,0.01761505,0.9535242,0.00006935916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06817355,0.007295712,0.001725025,0.0165708,0.003331156,0.00007287785,0.0003220398,0.0001432682,0.9023656],"genre_scores_gemma":[0.8075435,0.004388532,0.001390704,0.005857897,0.0008881829,0.00004489703,0.0002107279,0.00008349544,0.1795921],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09426751,"threshold_uncertainty_score":0.1874377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971143030655829,"score_gpt":0.2412119479532495,"score_spread":0.2115005176466912,"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."}}