{"id":"W2126673192","doi":"10.1177/026272800702700205","title":"Women, Work and Fishing","year":2007,"lang":"en","type":"article","venue":"South Asia Research","topic":"Social and Economic Development in India","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Caste; Fishing; Dowry; Limiting; Position (finance); Sociology; Work (physics); Gender studies; Everyday life; Economic growth; Socioeconomics; Political science; Business; Economics; Law; Engineering","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":[0.008921744,0.00004882234,0.00008180941,0.0001299871,0.001125933,0.0001907855,0.0002055636,0.00009814797,0.000558577],"category_scores_gemma":[0.0007224425,0.00005001003,0.00001610583,0.0005076737,0.0004114035,0.0001191299,0.00009364458,0.0002750078,0.0002567078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882804,"about_ca_system_score_gemma":0.0002039165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003394485,"about_ca_topic_score_gemma":0.0003626014,"domain_scores_codex":[0.9983277,0.0001285363,0.0001252213,0.0001804709,0.0003920537,0.0008460489],"domain_scores_gemma":[0.9991565,0.000403383,0.00002165744,0.00008015297,0.00006981182,0.0002685151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004552284,0.00001644374,0.468845,0.000007196878,0.0000159467,0.00001468843,0.4425642,1.052641e-7,0.000004158003,0.02849268,0.005208041,0.05478607],"study_design_scores_gemma":[0.0002212233,0.0000188787,0.3002485,0.00001504364,8.645177e-7,2.242739e-7,0.3226536,3.015615e-7,0.00002244521,0.01456008,0.3621021,0.0001567537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7958456,0.00003965595,0.000008973378,0.001742621,0.0002001475,0.0001201569,8.704383e-7,0.00003319019,0.2020088],"genre_scores_gemma":[0.9887693,0.00001998025,0.0001650416,0.00006982157,0.0003918474,0.00001496512,7.886528e-7,0.000006919453,0.01056132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.356894,"threshold_uncertainty_score":0.8659878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1334473307637368,"score_gpt":0.3932287035652607,"score_spread":0.2597813728015239,"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."}}