{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009804569,0.00006541877,0.0000753953,0.00005363097,0.0006480895,0.000006303406,0.0002245003,0.00004682603,0.003484916],"category_scores_gemma":[0.00004217674,0.00005884299,0.0000146281,0.0003759359,0.0002360191,0.00008297287,0.0002647611,0.0003745396,0.0002387431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105483,"about_ca_system_score_gemma":0.00005780663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001677248,"about_ca_topic_score_gemma":0.0001964274,"domain_scores_codex":[0.9985634,0.0004583535,0.0001056681,0.0002911252,0.0001615723,0.0004198623],"domain_scores_gemma":[0.9996232,0.000109659,0.00004642271,0.0001775565,0.00000847636,0.00003466824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008466648,0.0000553135,0.9686652,8.486395e-7,0.00001016436,0.000002593358,0.0001588005,0.0007834844,0.0008397575,0.00942016,0.01828935,0.001689622],"study_design_scores_gemma":[0.0003564651,0.0008847676,0.3885011,0.000001136008,0.000005375876,0.00003375523,0.0001929584,0.0007272754,0.00004213898,0.004912843,0.6042089,0.0001332006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850903,0.00002211519,0.0002406325,0.007073296,0.0000900068,0.0002063477,0.000002632653,0.00004828906,0.007226376],"genre_scores_gemma":[0.9947702,0.000007037979,0.0001381817,0.003541305,0.00004681324,0.0001951176,0.00004813778,0.000008162028,0.001245095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5859196,"threshold_uncertainty_score":0.997426,"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."}}