{"id":"W4387037286","doi":"10.1016/b978-0-323-90801-6.00065-3","title":"Tracking oceanic fishes","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Carleton University; Ocean Tracking Network; Dalhousie University","funders":"","keywords":"Biotelemetry; Pelagic zone; Telemetry; Tracking (education); Fish <Actinopterygii>; Population; Fishery; Environmental resource management; Satellite tracking; Computer science; Ecology; Geography; Remote sensing; Environmental science; Telecommunications; Satellite; Engineering; Biology","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":[0.0006489964,0.0008169183,0.0004095329,0.002004305,0.0006158028,0.002603344,0.001023776,0.001391948,0.08968721],"category_scores_gemma":[0.0005311118,0.0005566725,0.0004628417,0.001878388,0.0002946749,0.001812644,0.001412631,0.000595381,0.0662102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007278971,"about_ca_system_score_gemma":0.0009839076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127062,"about_ca_topic_score_gemma":0.03788103,"domain_scores_codex":[0.9996744,0.00001987952,0.00001087858,0.0001046125,0.0001640399,0.00002611462],"domain_scores_gemma":[0.9998038,0.00004643527,0.00001415941,0.00003493725,0.00008177353,0.00001881602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002827507,0.00001607432,0.002824261,0.000224328,0.00001419834,0.00006289722,0.0001819794,0.0004384762,0.01701266,0.003234882,0.06315716,0.9128047],"study_design_scores_gemma":[0.000005446671,0.00006332681,0.01801129,0.0003821221,0.00004898018,0.0006833657,0.0004341819,0.001639089,0.01036963,0.003811468,0.964507,0.0000440122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01104737,0.01527041,0.0771801,0.0009622736,0.00122376,0.0001582436,0.005900108,0.004544555,0.8837132],"genre_scores_gemma":[0.01407848,0.007100843,0.03767417,0.0004108808,0.0001043748,0.00008473888,0.003743591,0.000400078,0.9364028],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08968721,"threshold_uncertainty_score":0.3000336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106319897644184,"score_gpt":0.2354603820781623,"score_spread":0.2043971831017205,"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."}}