{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002458169,0.0002704088,0.0002620529,0.002129625,0.00221814,0.007239189,0.0005681476,0.002195569,0.00615063],"category_scores_gemma":[0.003661895,0.0001625926,0.000443759,0.002693211,0.005621153,0.007665512,0.003004716,0.002277564,0.0003020793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004331621,"about_ca_system_score_gemma":0.003745339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006275155,"about_ca_topic_score_gemma":0.00984688,"domain_scores_codex":[0.998415,0.0008865666,0.00001737926,0.00009712156,0.0001905712,0.0003933532],"domain_scores_gemma":[0.9953014,0.003209341,0.0005994265,0.00009946142,0.0003273083,0.000463026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006669825,0.0001690271,0.0309182,0.0001060291,0.00003529618,0.0006608684,0.01631402,0.003094005,0.0005050039,0.9166684,0.009714373,0.02174799],"study_design_scores_gemma":[0.00002306667,0.0001558851,0.06904851,0.0004533987,0.0000446766,0.0002020106,0.1801613,0.01417216,0.0005879631,0.5972978,0.1377991,0.00005422636],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5927586,0.008057042,0.007619351,0.197322,0.0002895422,0.00003199614,0.0001881502,0.00002227526,0.1937111],"genre_scores_gemma":[0.9923065,0.001727902,0.0005153959,0.002137427,0.00009451133,0.00001614103,0.00002463957,0.000007359872,0.003170147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007239189,"threshold_uncertainty_score":0.03142822,"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."}}