{"id":"W7116112161","doi":"10.1017/9781009608282.010","title":"India","year":2025,"lang":"","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Legal and cultural studies analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Innocence; Government (linguistics); Commission; Jury; Convict; Legislation; Compensation (psychology); Carelessness","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0002116364,0.0006585323,0.0009222748,0.0001941643,0.00289517,0.0001866999,0.001276818,0.0007459859,0.000128603],"category_scores_gemma":[0.00003233112,0.000693147,0.00101553,0.00006853061,0.001386614,0.000196587,0.001170446,0.0008026095,0.00008221603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006100215,"about_ca_system_score_gemma":0.0002847083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061671,"about_ca_topic_score_gemma":0.0001471715,"domain_scores_codex":[0.9970743,0.000155979,0.0003665927,0.0009764029,0.0007114062,0.0007152946],"domain_scores_gemma":[0.9980504,0.0001292421,0.0004242224,0.0005126383,0.0005012656,0.0003822654],"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":[0.00006393416,0.00001590399,0.00001253034,0.00007028472,0.001113395,0.0001872459,0.0008412824,7.972448e-7,0.000004849693,0.9362376,0.05338208,0.008070087],"study_design_scores_gemma":[0.000420189,0.00004295109,0.00005360928,0.0002232043,0.00163435,9.467938e-7,0.002496101,0.0000124615,0.00002668858,0.000009845586,0.9943242,0.0007554663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001201348,0.0006757409,0.00003660116,0.0003016421,0.0006946965,0.0005109133,0.0003309668,0.0001187729,0.9972105],"genre_scores_gemma":[0.009607777,0.003603342,0.00002256634,0.0002669979,0.0003951556,8.434437e-7,0.00003059921,0.00001840617,0.9860543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9409421,"threshold_uncertainty_score":0.999552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941401128807216,"score_gpt":0.2147856008820344,"score_spread":0.1953715895939623,"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."}}