{"id":"W4311775160","doi":"10.1002/wlb3.01045","title":"Predation research with electronic tagging","year":2022,"lang":"en","type":"article","venue":"Wildlife Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Norges Forskningsråd","keywords":"Predation; Computer science; Ecology; Wildlife; Apex predator; Ecosystem; Data science; Biology","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":[0.01021672,0.0007871129,0.0006401989,0.003755007,0.001299616,0.002503903,0.002057823,0.001542435,0.005165087],"category_scores_gemma":[0.0219357,0.0004751164,0.001153906,0.003655983,0.001438307,0.003272572,0.002586117,0.001240998,0.002333103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110459,"about_ca_system_score_gemma":0.0009347225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003743508,"about_ca_topic_score_gemma":0.005060447,"domain_scores_codex":[0.9921662,0.003357311,0.0006403764,0.001157538,0.00228233,0.0003962636],"domain_scores_gemma":[0.9814092,0.006656984,0.004083154,0.00372329,0.0036421,0.0004852146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009415486,0.0005127537,0.2113504,0.003018394,0.000925764,0.001236535,0.003816721,0.002117063,0.01698526,0.02265446,0.02164186,0.7147992],"study_design_scores_gemma":[0.0002008937,0.003530766,0.4457356,0.006352088,0.002010594,0.01517932,0.006904733,0.01040119,0.03328076,0.0675826,0.4080477,0.000773842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4227468,0.05478258,0.2860958,0.007050951,0.004875083,0.001829226,0.007795279,0.000898332,0.213926],"genre_scores_gemma":[0.661813,0.03395179,0.2605473,0.004808353,0.002322954,0.002207482,0.004287615,0.0002630842,0.02979833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021672,"threshold_uncertainty_score":0.05403185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02903508398018693,"score_gpt":0.2854111648402607,"score_spread":0.2563760808600737,"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."}}