{"id":"W4380880077","doi":"10.1002/9781119511847.ch1","title":"Introducing Fishery Systems","year":2023,"lang":"en","type":"other","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Scale (ratio); Corporate governance; Fishery; Social system; Data science; Complex system; Ecological systems theory; Temporal scales; Geography; Computer science; Ecology; Economics; Artificial intelligence; Biology; Cartography; Management","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":[0.0006601177,0.0008552798,0.0003111452,0.001977645,0.001896885,0.004062799,0.0009070936,0.00144343,0.03560869],"category_scores_gemma":[0.001381206,0.0002721673,0.0004079698,0.001860013,0.004183632,0.00609732,0.002612764,0.002356065,0.005660998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00341076,"about_ca_system_score_gemma":0.001800479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008473593,"about_ca_topic_score_gemma":0.007722644,"domain_scores_codex":[0.999468,0.0001816414,0.00002543065,0.000102403,0.00015908,0.00006351599],"domain_scores_gemma":[0.9996759,0.0001423313,0.00002975799,0.00003335261,0.00007895569,0.00003964413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000166683,0.000003731884,0.0001302724,0.00005445118,0.000001571142,0.00004307484,0.0007777099,0.000280868,0.00004459434,0.9667822,0.0170811,0.01479893],"study_design_scores_gemma":[8.298057e-7,0.000005004684,0.0001868201,0.0001527436,9.046142e-7,0.00009062446,0.0004596101,0.0002780009,0.00002688949,0.2455682,0.7532253,0.000005055098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002653902,0.03492671,0.03114346,0.01286288,0.002968097,0.00006810277,0.0004620044,0.0001985781,0.9147162],"genre_scores_gemma":[0.1894194,0.1350824,0.0894673,0.008637149,0.00591061,0.0005643765,0.001589613,0.0005251916,0.568804],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03560869,"threshold_uncertainty_score":0.1191229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378738540509838,"score_gpt":0.2346617900357348,"score_spread":0.2208744046306364,"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."}}