{"id":"W6959153160","doi":"10.7939/dvn/qpvcwu","title":"Cougar GPS collar data in west-central Alberta","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Global Positioning System; Collar; Assisted GPS; Period (music)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004876123,0.001165924,0.0005932259,0.004039302,0.001013868,0.001459102,0.00165737,0.0007136818,0.01413164],"category_scores_gemma":[0.001808901,0.0005080023,0.0004438309,0.01077011,0.0003156418,0.0003294101,0.0009116239,0.0007315215,0.01079559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005221827,"about_ca_system_score_gemma":0.0109198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.954165,"about_ca_topic_score_gemma":0.9726195,"domain_scores_codex":[0.9994622,0.0000261386,0.00003209716,0.0001155802,0.0002160001,0.0001480003],"domain_scores_gemma":[0.9986954,0.0001032873,0.0001321205,0.0001280505,0.0007818328,0.0001593311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000172811,0.00004507219,0.03427749,0.0005246853,0.0001215458,0.0001846549,0.0002780083,0.002338462,0.0004573121,0.001059774,0.9475913,0.01294881],"study_design_scores_gemma":[0.0001443223,0.0000193718,0.2213208,0.0004454329,0.00008164674,0.0001060154,0.001065649,0.001562625,0.0005690965,0.0005818395,0.7740325,0.00007060763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003950197,0.000265882,0.0001088323,0.00006523335,0.0000195384,0.00001467271,0.9927965,0.0001430988,0.002635996],"genre_scores_gemma":[0.007339935,0.0001812577,0.0004457822,0.00004670637,0.000006239923,0.00004120042,0.987483,0.00003954041,0.0044164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04583502,"threshold_uncertainty_score":0.09220982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03369135750466304,"score_gpt":0.2430887124990476,"score_spread":0.2093973549943845,"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."}}