{"id":"W2896725686","doi":"10.1007/978-3-319-94938-3_23","title":"Transcending Fisheries Knowledge: From Theory to Integration","year":2018,"lang":"en","type":"book-chapter","venue":"MARE publication series","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Corporate governance; General partnership; Civil society; Fisheries law; Government (linguistics); Fisheries management; Business; Scale (ratio); Political science; Poverty; Public relations; Environmental resource management; Knowledge management; Economics; Fishing; Geography; Politics","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":[0.003194645,0.0007609504,0.0007058891,0.002383696,0.002012511,0.009934237,0.001823007,0.00262934,0.01036879],"category_scores_gemma":[0.004454512,0.00037495,0.0004702243,0.002747327,0.02063895,0.01926768,0.006444978,0.004991132,0.00173678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003734776,"about_ca_system_score_gemma":0.005324725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002972629,"about_ca_topic_score_gemma":0.00412468,"domain_scores_codex":[0.9986398,0.0005767676,0.00007779474,0.0001805697,0.000409277,0.0001159048],"domain_scores_gemma":[0.9964641,0.002428708,0.0001409513,0.0005033656,0.0002984178,0.0001644104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002289094,0.00000851141,0.00005577201,0.00005428717,0.000003698427,0.00003070583,0.0009785937,0.0001923403,0.00003392733,0.9767901,0.003709317,0.01814047],"study_design_scores_gemma":[0.000001883657,0.000004719292,0.00007256164,0.0002753319,0.000002877246,0.0000365211,0.0006414215,0.0002555944,0.00006016586,0.9233661,0.07527827,0.000004569386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005748671,0.04595589,0.05679099,0.04110691,0.00214518,0.00003024886,0.00008386954,0.00009983615,0.8480383],"genre_scores_gemma":[0.6321105,0.08880902,0.06112228,0.01489604,0.004978602,0.0002953906,0.000389337,0.0004687383,0.1969301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01036879,"threshold_uncertainty_score":0.0346871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526084649061798,"score_gpt":0.2137269168619529,"score_spread":0.1984660703713349,"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."}}