{"id":"W3171686936","doi":"10.1002/ecs2.3565","title":"Quantifying behavior and life‐history events of an Arctic ungulate from year‐long continuous accelerometer data","year":2021,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ungulate; Accelerometer; Arctic; Ecology; Environmental science; Climate change; Life history; Geography; Physical geography; Biology; Habitat; Computer science","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":[0.0001535926,0.0002875128,0.0001759656,0.0008409666,0.0001967542,0.0002263746,0.0001286986,0.0001914266,0.0007629854],"category_scores_gemma":[0.000303204,0.0001213089,0.0001930863,0.0004602701,0.0001056935,0.0001302746,0.0002787611,0.0001338089,0.0002098857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463012,"about_ca_system_score_gemma":0.0001339669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009494768,"about_ca_topic_score_gemma":0.03821648,"domain_scores_codex":[0.9999375,0.000009837294,0.000004332769,0.00002446958,0.0000127811,0.00001110611],"domain_scores_gemma":[0.9998482,0.00002799167,0.00005349597,0.00001113701,0.00003397739,0.00002511604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002439781,0.0000753381,0.9119024,0.00009172314,0.0001375304,0.00009432281,0.0005022782,0.006037918,0.04098656,0.00008744524,0.0004508051,0.0393896],"study_design_scores_gemma":[0.00000233215,0.00007130306,0.9849091,0.00001465045,0.00002706695,0.00005642436,0.0001794307,0.0134058,0.00092959,0.00003833146,0.0003587182,0.000007269667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961098,0.00005534586,0.002394179,0.000007593378,0.00000398999,0.000008079194,0.0009466191,0.00004113614,0.0004333568],"genre_scores_gemma":[0.9942524,0.00007179595,0.003725073,0.000009637371,0.000006796483,0.00003095506,0.001565067,0.000006253491,0.0003321597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009494768,"threshold_uncertainty_score":0.01887906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570843079750862,"score_gpt":0.261815757369471,"score_spread":0.2047314493943848,"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."}}