{"id":"W7139381835","doi":"","title":"Using Accelerometer Data to Remotely Assess Predation Activity of Arctic Wolves <i>(Canis lupus arctos)</i>","year":2016,"lang":"","type":"article","venue":"Digital Commons - USU (Utah State University)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predation; Arctic; Seabird; Global Positioning System; Wildlife; Peninsula; Accelerometer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004252422,0.0002844349,0.0001551327,0.0008328628,0.0001646629,0.0005158596,0.0002260323,0.0001942537,0.0009319928],"category_scores_gemma":[0.001032304,0.0001247894,0.0001635997,0.0004614391,0.0001216763,0.0003132656,0.000427033,0.0001740179,0.0004819694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001482767,"about_ca_system_score_gemma":0.0002131319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009396388,"about_ca_topic_score_gemma":0.03897772,"domain_scores_codex":[0.9997348,0.00005824297,0.00002025693,0.00006672827,0.00009024565,0.00002969788],"domain_scores_gemma":[0.9994605,0.00008924891,0.0001938469,0.0000407254,0.0001582802,0.00005745398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001028921,0.00009562797,0.9322285,0.00006057391,0.0000967005,0.0001085136,0.0003015993,0.0008325335,0.007499503,0.00005428976,0.001168822,0.05745031],"study_design_scores_gemma":[0.00001707323,0.0003371018,0.9800919,0.00006550448,0.00007825928,0.0002113877,0.0009344296,0.01217078,0.003825732,0.000112924,0.002132386,0.00002245594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935279,0.0001622678,0.00253272,0.00009019795,0.00002057961,0.00006314138,0.001135966,0.00009157565,0.002375528],"genre_scores_gemma":[0.9845472,0.0002273346,0.01223203,0.00006462669,0.00001855241,0.00006746942,0.001767428,0.00001177959,0.001063638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009396388,"threshold_uncertainty_score":0.01868337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09859988538061454,"score_gpt":0.259787701291794,"score_spread":0.1611878159111795,"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."}}