{"id":"W6964330627","doi":"10.25394/pgs.25506211","title":"Exploring the Blue Economy Nexus: Government, Industry, and Market’s Perspectives on Seafood","year":2024,"lang":"en","type":"dissertation","venue":"Purdue","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; National Oceanic and Atmospheric Administration","keywords":"Endogeneity; Snow; Instrumental variable; Climate change; Arctic; Fishing; Stock (firearms); Haddock","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002059641,0.0001991992,0.0001386935,0.00002386684,0.000148228,0.0002076708,0.0002604883,0.0001401769,0.007632545],"category_scores_gemma":[0.00005592337,0.0001467368,0.00005430389,0.0001319001,0.000094715,0.0002188605,0.0002192717,0.0009323847,0.0002108945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230401,"about_ca_system_score_gemma":0.0000185885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003933828,"about_ca_topic_score_gemma":0.0004937681,"domain_scores_codex":[0.9987438,0.00004393053,0.0001296689,0.0004709699,0.0003544638,0.0002571184],"domain_scores_gemma":[0.9995005,0.00007498205,0.0000437914,0.0002864675,0.000004880221,0.0000894228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008829858,0.0004507473,0.0393605,0.0008894401,0.0006850864,0.0002167825,0.1015369,0.00007100131,0.0001755022,0.008021384,0.1630789,0.6846308],"study_design_scores_gemma":[0.0001692381,0.0001894849,0.05335282,0.00005808455,0.00004589725,0.000007563257,0.1087688,0.0003244507,0.0002554058,0.000657836,0.8357577,0.0004126345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2739148,0.00005124436,3.817244e-7,0.0005664012,0.0001855293,0.0002508645,0.00001104419,0.00001856557,0.7250012],"genre_scores_gemma":[0.5850729,0.0007471711,0.00001560645,0.0001559204,0.0004056217,0.0006284394,0.00003915767,0.00007448113,0.4128608],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6842182,"threshold_uncertainty_score":0.9932746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549850471073658,"score_gpt":0.2542205339397998,"score_spread":0.2187220292290633,"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."}}