{"id":"W4388054702","doi":"10.1214/23-aoas1776","title":"Continuous-time modelling of behavioural responses in animal movement","year":2023,"lang":"en","type":"article","venue":"The Annals of Applied Statistics","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Bureau of Medicine and Surgery; National Marine Fisheries Service; U.S. Department of Defense; U.S. Fleet Forces Command; Office of Naval Research; U.S. Navy","keywords":"Baseline (sea); Nonparametric statistics; Computer science; Covariate; Stochastic modelling; Sound exposure; Statistics; Machine learning; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006372123,0.0001020861,0.0002381237,0.00003174489,0.00004634809,0.000005191847,0.0002397923,0.0000234814,0.0004213406],"category_scores_gemma":[0.00003287011,0.00008087124,0.00002961628,0.0002654108,0.000189692,0.00002320613,0.0003767204,0.00007564111,0.0001436529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001578889,"about_ca_system_score_gemma":0.000006952575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532468,"about_ca_topic_score_gemma":0.0001964645,"domain_scores_codex":[0.998911,0.00003375987,0.0003544404,0.0001453746,0.0003178219,0.0002376422],"domain_scores_gemma":[0.9993702,0.0002399626,0.000154342,0.0001906642,0.00001630202,0.00002859201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.008666168,0.001716468,0.2307207,0.0005989735,0.0003918139,0.0001413998,0.01647634,0.2473996,0.1020599,0.1484233,0.1326666,0.1107387],"study_design_scores_gemma":[0.0007368423,0.0005905165,0.8716635,0.00005085377,0.00005410384,6.367983e-7,0.0009635003,0.06908851,0.0151727,0.03934944,0.001911586,0.0004178722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918398,0.0000254602,0.0005632413,0.0001965134,0.000009558359,0.0002476218,0.000200645,0.00001649046,0.006900637],"genre_scores_gemma":[0.9967005,0.0002213564,0.002535217,0.0001843967,0.000005971212,0.00001621733,0.000009671573,0.00001170348,0.000315017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6409428,"threshold_uncertainty_score":0.4613384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385718350172995,"score_gpt":0.3100216156854771,"score_spread":0.1714497806681776,"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."}}