{"id":"W2776435727","doi":"10.25959/23240522","title":"Integrating biological and social information to inform responsible ractices for recreational shark fishing","year":2017,"lang":"en","type":"dissertation","venue":"Open Access Repository (University of Tasmania)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Tasmania; Equity Trustees; Holsworth Wildlife Research Endowment","keywords":"Fishing; Recreation; Overfishing; Fishery; Catch and release; Recreational fishing; Sustainability; Fisheries management; Geography; Commercial fishing; Natural resource economics; Business; Environmental resource management; Ecology; Biology; Environmental science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003462204,0.0001264516,0.0002467709,0.0000695501,0.001505809,0.0003507547,0.001290807,0.0003041181,0.0006036023],"category_scores_gemma":[0.0001825833,0.0001352976,0.0000525226,0.00006309874,0.0001212555,0.003822616,0.000907742,0.0001585242,0.0000279398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009407785,"about_ca_system_score_gemma":0.00007978976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002401957,"about_ca_topic_score_gemma":0.004006227,"domain_scores_codex":[0.9992948,0.00005600785,0.0001728545,0.0002275344,0.0001113318,0.0001374583],"domain_scores_gemma":[0.9990522,0.0001169521,0.0005791943,0.0001441724,0.00006158281,0.00004590961],"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":[0.03468258,0.0004265679,0.2197332,0.0009453842,0.0008659411,0.00006669954,0.05547335,0.0001595207,0.02803511,0.01405637,0.1841423,0.4614129],"study_design_scores_gemma":[0.0007519727,0.000322061,0.7409235,0.00008650911,0.0001056315,0.00001335993,0.00716208,0.0001731152,0.001407564,0.0005187113,0.2481153,0.0004202035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7630809,0.00000568247,0.0001082174,0.0005752936,0.0003139657,0.0006923254,0.00003476865,0.0000110471,0.2351778],"genre_scores_gemma":[0.9338691,0.00004344323,0.01080114,0.0002419885,0.0001165498,0.00002144163,0.002857615,0.00001456413,0.05203418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5211902,"threshold_uncertainty_score":0.9997941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05032462077669723,"score_gpt":0.3379867221596582,"score_spread":0.287662101382961,"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."}}