{"id":"W4415655207","doi":"10.1016/j.ecolmodel.2025.111394","title":"Stranding data can significantly bias marine mammal habitat suitability models","year":2025,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Habitat; Manatee; Marine mammal; Telemetry; Critical habitat; Biotelemetry","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":[0.0009822007,0.0002493387,0.0003791258,0.00002924492,0.0003439593,0.00006185109,0.0009603381,0.0001189075,0.002781704],"category_scores_gemma":[0.0001588458,0.0002041903,0.00008334342,0.0003440477,0.0002064837,0.0002781643,0.003681605,0.0003077507,0.00009385907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003009626,"about_ca_system_score_gemma":0.00002145922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681353,"about_ca_topic_score_gemma":0.008835522,"domain_scores_codex":[0.9976088,0.0001265531,0.0004556111,0.0009314865,0.0002948523,0.0005827248],"domain_scores_gemma":[0.9986667,0.0003928602,0.0000805044,0.0007196363,0.00001441995,0.0001258872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000646815,0.0003222773,0.5895357,0.00005129019,0.00004324701,0.00002656484,0.00005775328,0.3978128,0.00005317677,0.003145207,0.001031263,0.007856081],"study_design_scores_gemma":[0.0003030274,0.00007621681,0.2347809,0.00001274157,0.00004255708,0.000001288185,0.00006596396,0.7303526,0.00001592724,0.03266596,0.001404081,0.0002787676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040193,0.00007256398,0.03869321,0.00073061,0.0001182264,0.0004533563,0.00003799142,0.000120205,0.05575452],"genre_scores_gemma":[0.9901699,0.0001723707,0.00867263,0.0004603152,0.00003127857,0.00002804138,0.00003661864,0.00001094358,0.0004178818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3547547,"threshold_uncertainty_score":0.9981299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441108005545117,"score_gpt":0.2839952431685517,"score_spread":0.1398844426140401,"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."}}