{"id":"W2124523658","doi":"10.1017/s0030605313001312","title":"Shark fishing and tourism","year":2014,"lang":"en","type":"article","venue":"Oryx","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadiana.org","funders":"","keywords":"Fishing; Fishery; Tourism; Content (measure theory); Business; Advertising; Geography; Mathematics; Biology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000281038,0.0001752837,0.0001880696,0.0008005217,0.0005548087,0.001659118,0.0001694309,0.000570079,0.05757136],"category_scores_gemma":[0.0005394377,0.00008706569,0.0002080863,0.001575171,0.0007304303,0.0008106252,0.0007975054,0.0004651215,0.002551116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207427,"about_ca_system_score_gemma":0.001443395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04597849,"about_ca_topic_score_gemma":0.09721397,"domain_scores_codex":[0.9997588,0.00005973043,0.00001284511,0.0000237778,0.00006609204,0.00007865995],"domain_scores_gemma":[0.9996722,0.00004670138,0.00006920736,0.00001347922,0.00006190516,0.0001366178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003321391,0.0002095279,0.1757552,0.001001687,0.0001762079,0.001141097,0.002123433,0.0004684101,0.000707873,0.07747184,0.3652048,0.3754078],"study_design_scores_gemma":[0.00001923628,0.0002187596,0.6267257,0.001262093,0.00006153014,0.0009803786,0.009273226,0.0004581019,0.0001546823,0.009969106,0.3508363,0.00004092112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2469303,0.09513278,0.000367104,0.0714892,0.006599008,0.00003060187,0.003978024,0.00007774359,0.5753952],"genre_scores_gemma":[0.7738734,0.04950931,0.0002208954,0.003421264,0.002088733,0.00001550653,0.001449864,0.00002520455,0.1693958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05757136,"threshold_uncertainty_score":0.1925954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004722453403138148,"score_gpt":0.1917544547052508,"score_spread":0.1870320013021126,"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."}}