{"id":"W4416677650","doi":"10.1109/iccams65118.2025.11234043","title":"Adhikaar: A Mobile-Based AI Solution for Legal Aid and Rehabilitation of Undertrial Prisoners in India","year":2025,"lang":"","type":"article","venue":"","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Rehabilitation; Mental health; Key (lock); Scalability; Mental illness","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":[],"consensus_categories":[],"category_scores_codex":[0.002412472,0.0001975508,0.0004202838,0.0004284243,0.0003584089,0.0001103638,0.0002278478,0.0003930952,0.0001394199],"category_scores_gemma":[0.002180166,0.0002130058,0.000178759,0.001200327,0.001689641,0.0005604805,0.00005548688,0.0002034926,0.000004583335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305507,"about_ca_system_score_gemma":0.001256795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007743494,"about_ca_topic_score_gemma":0.009775157,"domain_scores_codex":[0.9971288,0.0004601262,0.001046736,0.0005201901,0.0003706469,0.0004735107],"domain_scores_gemma":[0.9962112,0.002918581,0.0002595676,0.0002092317,0.0003152547,0.00008619636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003115035,0.0008495498,0.0147983,0.0004515599,0.00005419647,6.678836e-7,0.01978626,0.002509055,0.001567365,0.8889462,0.001796255,0.0661255],"study_design_scores_gemma":[0.008802549,0.01079435,0.01052429,0.001798679,0.0004575535,3.621834e-7,0.1368933,0.4716776,0.02605041,0.2511801,0.07992783,0.001893015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6495818,0.0005297765,0.2936284,0.01966184,0.003803906,0.01005444,0.0000536776,0.0001011017,0.02258507],"genre_scores_gemma":[0.9940121,0.00002828875,0.004768689,0.0003205049,0.0001073646,0.0002498527,0.00000554535,0.00001046607,0.0004971875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6377662,"threshold_uncertainty_score":0.9988641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457305664071714,"score_gpt":0.3692727228169804,"score_spread":0.3446996661762633,"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."}}