{"id":"W4410756710","doi":"10.53555/sfs.v10i1.3617","title":"E-Commerce Platforms and Their Impact on Fish Product Supply Chains in India: A Comprehensive Analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Fish <Actinopterygii>; Business; Product (mathematics); Fishery; Industrial organization; Marketing; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003250987,0.0001224882,0.0003406593,0.001485127,0.0001271243,0.0002926632,0.0002304923,0.00003225859,0.00007738567],"category_scores_gemma":[0.0002014861,0.00007751025,0.00006029146,0.003478978,0.0001714862,0.001111146,0.00007330095,0.0001688254,0.00000665543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006695073,"about_ca_system_score_gemma":0.00007734755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006921978,"about_ca_topic_score_gemma":0.001576152,"domain_scores_codex":[0.9989522,0.00002441824,0.0004565415,0.0001554431,0.0001892146,0.0002221997],"domain_scores_gemma":[0.9992386,0.0001948225,0.0003466216,0.00006616655,0.0001423652,0.0000113882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003597237,0.00002533835,0.9941694,0.000009217233,0.00004407072,0.000006984814,0.000864662,0.0004407722,0.000006963953,0.0001472524,0.002973724,0.001275606],"study_design_scores_gemma":[0.0002799587,0.00002538916,0.9950931,0.00002180617,0.000004230857,0.000001494913,0.002643818,0.000557635,0.000006629766,0.000328056,0.0009376215,0.0001002703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965203,0.00001071717,0.000002646018,0.002143952,0.0002504285,0.0000792139,0.000006323569,0.000008362013,0.0009780505],"genre_scores_gemma":[0.9984703,0.00004389628,0.00002159558,0.00129213,0.0000817679,0.000002047186,0.00001396443,0.000004299607,0.00006998882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003049501,"threshold_uncertainty_score":0.3160776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1170054474137141,"score_gpt":0.2800457279247027,"score_spread":0.1630402805109886,"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."}}