{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001664367,0.0001562708,0.0002125641,0.00003396238,0.0001824286,0.0003595785,0.00008741062,0.0000830205,0.005704198],"category_scores_gemma":[0.00007768127,0.0001619985,0.00002719959,0.0002346324,0.0003307099,0.001049292,0.0007259016,0.0002055282,0.00000352044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000643496,"about_ca_system_score_gemma":0.00004493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448599,"about_ca_topic_score_gemma":0.008468174,"domain_scores_codex":[0.9987593,0.00006719497,0.0001918052,0.0004140942,0.0002297622,0.0003378885],"domain_scores_gemma":[0.9995726,0.00008626258,0.00003816947,0.0001765373,0.00001548382,0.0001108847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000311855,0.00008866304,0.9589797,0.00004728835,0.00001133258,0.00009963859,0.0003554528,0.00000755782,0.0004564162,0.0002307274,0.003895078,0.03579698],"study_design_scores_gemma":[0.0003582249,0.00005965564,0.9548867,0.000008487385,0.0000042276,0.0000208732,0.002305089,0.0004885773,0.0001954222,0.004081854,0.03739259,0.0001982945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146775,0.00001897781,0.00002038778,0.002649696,0.0000432552,0.0001012042,0.00001585126,0.00002433725,0.1824487],"genre_scores_gemma":[0.9937317,0.0004970764,0.001140699,0.001674656,0.00004928654,0.0000423269,0.00005241317,0.00001666355,0.002795145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1796536,"threshold_uncertainty_score":0.9952047,"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."}}