{"id":"W4291184113","doi":"10.1016/j.anbehav.2022.07.004","title":"Physiological state predicts space use of sharks at a tourism provisioning site","year":2022,"lang":"en","type":"article","venue":"Animal Behaviour","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada Foundation for Innovation; Disney Worldwide Conservation Fund; Batchelor Foundation","keywords":"Provisioning; Biology; Context (archaeology); Testosterone (patch); Ecology; Behavioral ecology; Tiger; Wildlife; Zoology; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001492746,0.000110152,0.0001553465,0.00002126376,0.0002270705,0.000003701246,0.0001713001,0.00005897875,0.006289481],"category_scores_gemma":[0.00003078418,0.0000952043,0.00005997753,0.00009776885,0.0001702625,0.00009798359,0.001641165,0.0002224038,0.0001609889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009408073,"about_ca_system_score_gemma":0.000007978505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009567439,"about_ca_topic_score_gemma":0.0001024019,"domain_scores_codex":[0.9989592,0.00013332,0.0001656794,0.0003086259,0.0001604778,0.0002726386],"domain_scores_gemma":[0.9996375,0.0000398926,0.00008911141,0.0001662076,0.000005374745,0.00006184405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002590084,0.0001474865,0.8294325,0.000001484477,0.000005347698,0.00007413408,0.0002078976,0.0003560546,0.1600175,0.00002706487,0.009135541,0.000335987],"study_design_scores_gemma":[0.00023013,0.001118431,0.9919692,0.000001362137,0.0000154817,0.00003032031,0.00001861004,0.0001585821,0.001806891,0.00004946143,0.004488992,0.0001125574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991403,0.00001154793,0.000007528067,0.0001229045,0.00007485876,0.0001725995,0.00009674506,0.00003492523,0.0003385739],"genre_scores_gemma":[0.9958714,0.000005637195,0.0002805307,0.0001996952,0.00001446666,0.00003397782,0.00004484937,0.000008652173,0.00354081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1625367,"threshold_uncertainty_score":0.9946189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993981749323326,"score_gpt":0.2346896204878854,"score_spread":0.2147498029946522,"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."}}