{"id":"W3023975985","doi":"10.1002/wsb.1092","title":"Coupling Tracking Technologies to Maximize Efficiency in Avian Research","year":2020,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wildlife; Computer science; Tracking system; Global Positioning System; Sample (material); Tracking (education); Field (mathematics); Environmental science; Ecology; Telecommunications; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01855181,0.0009931523,0.0006883059,0.003628147,0.0006898124,0.002698005,0.001856841,0.001395647,0.006462112],"category_scores_gemma":[0.02809824,0.0008804133,0.0007562169,0.002821061,0.0007652267,0.003967008,0.003590785,0.0008472182,0.003290634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111542,"about_ca_system_score_gemma":0.001388905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501687,"about_ca_topic_score_gemma":0.003254491,"domain_scores_codex":[0.9841331,0.008389541,0.001358561,0.002361624,0.003215934,0.0005413031],"domain_scores_gemma":[0.9731953,0.01139808,0.003782104,0.003980763,0.007076962,0.0005668034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009678821,0.0009644931,0.100942,0.001734981,0.0004913119,0.0002329399,0.001272456,0.01439044,0.1978493,0.008255654,0.00652176,0.6663768],"study_design_scores_gemma":[0.0007614353,0.009742215,0.263456,0.001887776,0.002059545,0.00354011,0.003002041,0.1200154,0.3598157,0.02540504,0.2097303,0.0005843084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1879518,0.002143976,0.7828795,0.001082312,0.000427448,0.002632172,0.0007606203,0.002519959,0.01960217],"genre_scores_gemma":[0.2924694,0.0007340857,0.6981558,0.0008177051,0.0001625054,0.002177049,0.0005251819,0.0004809086,0.00447738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01855181,"threshold_uncertainty_score":0.09811252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04457372591284737,"score_gpt":0.280564366125276,"score_spread":0.2359906402124286,"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."}}