{"id":"W4321372403","doi":"10.3390/coasts3010004","title":"Mapping Social-Ecological-Oriented Dried Fish Value Chain: Evidence from Coastal Communities of Odisha and West Bengal in India","year":2023,"lang":"en","type":"article","venue":"Coasts","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Waterloo","funders":"International Development Research Centre","keywords":"Value chain; Livelihood; BENGAL; Value (mathematics); Context (archaeology); Fishery; Food security; Resource (disambiguation); Ecology; Business; Geography; Bay; Biology; Marketing; Supply chain; Agriculture","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005502454,0.0001077302,0.0002160972,0.0002452503,0.000204081,0.00008393185,0.000146608,0.00007816746,0.0001920016],"category_scores_gemma":[0.000125309,0.0001169381,0.00002622186,0.0004782911,0.0001221263,0.000373981,0.0004045843,0.0001471377,0.00006648029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003157405,"about_ca_system_score_gemma":0.00003149703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175957,"about_ca_topic_score_gemma":0.001414897,"domain_scores_codex":[0.9991881,0.00002690837,0.0003323625,0.0001356946,0.0001197347,0.000197168],"domain_scores_gemma":[0.9994718,0.0001614364,0.0001803198,0.00008873592,0.00009032946,0.000007405069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003055837,0.00007452703,0.9580018,0.0001523018,0.00003774359,0.00001389504,0.01255412,0.0000191028,0.000386615,0.0167283,0.008006065,0.003994963],"study_design_scores_gemma":[0.0004632797,0.000003740467,0.9777696,0.00009892252,0.000003510677,1.230852e-7,0.0153623,0.001342171,0.0000205923,0.0007553481,0.004048168,0.0001322886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952654,0.000006613888,0.0000376773,0.00161623,0.0002758777,0.0001559611,0.00001684208,0.00008615576,0.0025393],"genre_scores_gemma":[0.9976724,0.00001881762,0.00005816936,0.001780479,0.0001449631,0.00002275072,0.0001649456,0.00001239913,0.0001250954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01976775,"threshold_uncertainty_score":0.4768598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04140339107219589,"score_gpt":0.2478517252609171,"score_spread":0.2064483341887212,"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."}}