{"id":"W6912113074","doi":"10.5281/zenodo.14993557","title":"Understanding Disparities: An Analysis of Reasons for School Non-Attendance in India by Gender and Residence","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Youth Substance Use and School Attendance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Residence; Rural area; Socioeconomic status; Test (biology); Educational attainment; Educational research","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001220103,0.00009081875,0.0002019238,0.0004406387,0.001544906,0.0003657917,0.0005388294,0.00007092071,0.0006128949],"category_scores_gemma":[0.0008417799,0.0001033654,0.00004297126,0.001700864,0.0002972513,0.0004486481,0.0001690478,0.0001601668,0.00002141559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755332,"about_ca_system_score_gemma":0.0000180139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003542897,"about_ca_topic_score_gemma":0.00009564219,"domain_scores_codex":[0.9985192,0.0002800503,0.0002413391,0.000357158,0.0002740644,0.0003281736],"domain_scores_gemma":[0.9991871,0.00008984267,0.00009623246,0.0002434952,0.0002391758,0.0001442169],"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":[0.0006423423,0.0005364409,0.0801131,0.0005472537,0.0008609302,0.00001715971,0.06372752,0.0004875487,0.005092612,0.5872697,0.2496953,0.01101012],"study_design_scores_gemma":[0.003055875,0.0003644721,0.6068357,0.0006124002,0.0006022133,0.000003143175,0.117994,0.005546144,0.0004341362,0.01828867,0.2451702,0.001093122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6234874,0.00128548,0.1334767,0.003174303,0.0002203786,0.002263695,0.00152533,0.0006028205,0.233964],"genre_scores_gemma":[0.9983801,0.0003045057,0.0003099017,0.0001445284,0.00002337167,1.747351e-7,0.0001973988,0.0001243506,0.0005156304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.568981,"threshold_uncertainty_score":0.999755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07901131834500796,"score_gpt":0.3166556151162786,"score_spread":0.2376442967712706,"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."}}