{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000614863,0.0002112475,0.0002235033,0.00101081,0.007710398,0.003452055,0.0003963154,0.0007199634,0.006691019],"category_scores_gemma":[0.001284511,0.0001139181,0.0001136874,0.00133959,0.006968071,0.001365774,0.002583589,0.0006842134,0.0006320878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560536,"about_ca_system_score_gemma":0.002195025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207789,"about_ca_topic_score_gemma":0.032631,"domain_scores_codex":[0.9993322,0.0002550227,0.00001690353,0.00003803208,0.00008659862,0.0002711065],"domain_scores_gemma":[0.9992884,0.0002436402,0.00008773591,0.00002912799,0.00005904584,0.0002918364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000121546,0.0002405508,0.08599125,0.0005125247,0.00003654697,0.002951782,0.5090835,0.0001832147,0.0004575284,0.1782755,0.04947305,0.172673],"study_design_scores_gemma":[0.000007919651,0.00009467464,0.05842922,0.000556081,0.00001517884,0.001186143,0.436777,0.00002831417,0.0001150766,0.01112768,0.491639,0.00002371197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4132583,0.04876057,0.0004226004,0.04714316,0.001210962,0.00003123136,0.0001417735,0.00004250541,0.4889889],"genre_scores_gemma":[0.9474951,0.01358855,0.0001157695,0.00218719,0.0002130087,0.0000158892,0.00002333742,0.00001000418,0.03635112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02207789,"threshold_uncertainty_score":0.04389876,"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."}}