{"id":"W4380880044","doi":"10.1002/9781119511847.app2","title":"Appendix B: Models of Fishery Systems","year":2023,"lang":"en","type":"other","venue":"","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Nova scotia; SAINT; Citation; Fishery; Library science; History; Archaeology; Computer science; Art history; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007508787,0.001107584,0.0007077931,0.001998449,0.0004807929,0.001074266,0.002267016,0.001795423,0.4862452],"category_scores_gemma":[0.009673241,0.0007046413,0.0006985472,0.003253379,0.0003092784,0.001949054,0.0008818742,0.001308045,0.1349792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734266,"about_ca_system_score_gemma":0.002198929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0500692,"about_ca_topic_score_gemma":0.03647914,"domain_scores_codex":[0.9995659,0.0001414498,0.00002779021,0.00004791708,0.0001770473,0.00003984546],"domain_scores_gemma":[0.9955498,0.002205747,0.0001677439,0.000409759,0.001526242,0.0001407998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002053904,0.00004708854,0.0003914725,0.0002361456,0.00001326874,0.00006783454,0.00003256115,0.02743688,0.0000833835,0.08523375,0.86701,0.01942699],"study_design_scores_gemma":[0.0001730644,0.00001614744,0.0007398212,0.0001811231,0.0000196191,0.0001535802,0.00004669441,0.06479406,0.000361018,0.1472628,0.7862183,0.00003372606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001911498,0.00074176,0.1165501,0.003669629,0.0007971192,0.0004829878,0.4547651,0.004014106,0.4170677],"genre_scores_gemma":[0.07076146,0.002818194,0.1768051,0.002324204,0.0007805628,0.003437009,0.2593163,0.007208999,0.4765483],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4862452,"threshold_uncertainty_score":0.7328089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709439499972766,"score_gpt":0.2135011742758175,"score_spread":0.1964067792760898,"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."}}