{"id":"W2802389629","doi":"10.1007/978-3-319-90053-7_9","title":"Using the Internet of Things to Monitor Human and Animal Uses of Industrial Linear Features","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Open source hardware; Wildlife; Interoperability; Internet of Things; The Internet; Open source; Computer security; World Wide Web; Operating system; Ecology","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":[0.0001139474,0.0004345837,0.0002124587,0.001080358,0.0002312442,0.000492744,0.000420669,0.0004800272,0.002140011],"category_scores_gemma":[0.0003260849,0.000167247,0.000298148,0.001162447,0.0001497453,0.0008423011,0.0003678753,0.0002640973,0.001004202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225079,"about_ca_system_score_gemma":0.00008757262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000897089,"about_ca_topic_score_gemma":0.003326477,"domain_scores_codex":[0.9998804,0.00001162958,0.000004600839,0.00003463035,0.00005775164,0.0000108724],"domain_scores_gemma":[0.9998639,0.00004727456,0.00002149033,0.00002060822,0.00003640429,0.00001041514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001936374,0.0001067637,0.03201239,0.0004912816,0.0001559777,0.0004430982,0.0004141348,0.005001815,0.07725951,0.003711638,0.01418571,0.8660241],"study_design_scores_gemma":[0.00004723817,0.0009387112,0.2441802,0.0005493787,0.0006663979,0.006739466,0.002160658,0.2454794,0.2217758,0.03194851,0.2452207,0.0002936243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3476261,0.007007722,0.4898094,0.0008412246,0.0008919138,0.0002421609,0.005191209,0.005176302,0.1432139],"genre_scores_gemma":[0.7602279,0.004238445,0.1964236,0.0005020495,0.0002300756,0.0001440708,0.002999388,0.0002959404,0.03493861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002140011,"threshold_uncertainty_score":0.007159054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07316514079629334,"score_gpt":0.3373029184132535,"score_spread":0.2641377776169602,"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."}}