{"id":"W1609867776","doi":"","title":"Implication of Trade Livelihood and Employment Exclusion among Workers in Plantation Sector in Kerala","year":2015,"lang":"en","type":"dissertation","venue":"Dyuthi Digital Repository (Cochin University of Science and Technology)","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cochin University of Science and Technology; International Labour Organization; United States Agency for International Development; International Development Research Centre; Department for International Development; United Nations Development Programme","keywords":"Livelihood; Business; Social exclusion; Geography; Socioeconomics; Agricultural economics; Economics; Labour economics; Development economics; Economic growth; Agriculture; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002590529,0.0001059679,0.0003007675,0.001038077,0.0001021849,0.00002671136,0.0002092977,0.0002469236,0.000001283197],"category_scores_gemma":[0.00004549869,0.0001427642,0.00002116232,0.0004492549,0.0005591699,0.0004721684,0.00006439584,0.0001509123,0.00000123254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645232,"about_ca_system_score_gemma":0.0001970657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000603857,"about_ca_topic_score_gemma":0.0004670423,"domain_scores_codex":[0.999092,0.000004094726,0.0003354963,0.0003596283,0.00006338276,0.000145397],"domain_scores_gemma":[0.9993568,0.00001217184,0.0004275085,0.0001110486,0.00004699289,0.00004545482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006442023,0.0001059196,0.96668,0.00009100825,0.0000197205,0.00001283999,0.01444879,0.000005355479,0.0005055505,0.007233966,0.00004064552,0.01079182],"study_design_scores_gemma":[0.0004055672,0.00006412875,0.9737217,0.0001491621,0.0000035657,0.000002256015,0.01614331,0.00006405633,0.0005355852,0.008675883,0.00007151019,0.0001632091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906913,0.0003405429,0.000004333456,0.00005009641,0.0001107186,0.000196755,0.00002694216,0.00001170129,0.008567604],"genre_scores_gemma":[0.9992535,0.0001990451,0.00008449797,0.000002483589,0.000003883384,0.000001011748,0.00002692425,0.000005240739,0.0004234223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062861,"threshold_uncertainty_score":0.5821754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009742926914267836,"score_gpt":0.1894853188878022,"score_spread":0.1797423919735344,"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."}}