{"id":"W3185871720","doi":"10.1111/faf.12589","title":"Movescapes and eco‐evolutionary movement strategies in marine fish: Assessing a connectivity hotspot","year":2021,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network; Dalhousie University; Fisheries and Oceans Canada; Carleton University","funders":"U.S. Fish and Wildlife Service; National Oceanic and Atmospheric Administration","keywords":"Fishery; Serranidae; Marine protected area; Coral reef fish; Apex predator; Biology; Ecology; Habitat; Geography; Predation; Endangered species; Reef; Fish <Actinopterygii>","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":[0.0008520985,0.00028962,0.0002476077,0.003620276,0.0004134022,0.0005969253,0.000373298,0.0003065226,0.0009558522],"category_scores_gemma":[0.001959561,0.0001585296,0.0003994198,0.001812181,0.0003504491,0.0006298066,0.000932863,0.0001879547,0.00009761482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004668587,"about_ca_system_score_gemma":0.0001621487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01396617,"about_ca_topic_score_gemma":0.02929991,"domain_scores_codex":[0.9997062,0.00007095612,0.00002859367,0.00009691285,0.00004713332,0.0000502607],"domain_scores_gemma":[0.9983734,0.0004079059,0.0008448559,0.00007052503,0.0001489943,0.0001542333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002011632,0.000006979569,0.998661,0.000006313891,0.00004443681,0.00001297197,0.00009345741,0.0001781878,0.0001910249,0.00001989793,0.0000261169,0.0007394275],"study_design_scores_gemma":[7.741285e-7,0.00002073625,0.9989303,0.000002736605,0.000009163957,0.0000202,0.0001834537,0.0007413627,0.00003056791,0.00001435175,0.00004467624,0.000001657389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994543,0.00003280478,0.000109959,0.000006842488,6.28013e-7,0.000005400983,0.0002550062,0.00000282757,0.0001322727],"genre_scores_gemma":[0.9993948,0.00001619379,0.0002292538,0.000002411136,0.000001620104,0.00001095819,0.0002861606,0.000001110915,0.00005757849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01396617,"threshold_uncertainty_score":0.02776974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388249021879705,"score_gpt":0.2362028090067225,"score_spread":0.2223203187879254,"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."}}