{"id":"W2066890809","doi":"10.1109/icsens.2013.6688330","title":"Large animal detection and continuous traffic monitoring on highways","year":2013,"lang":"en","type":"article","venue":"","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"AUG Signals (Canada)","funders":"","keywords":"Computer science; ALARM; Radar; Warning system; Track (disk drive); Real-time computing; Constant false alarm rate; Fencing; Transport engineering; Engineering; Telecommunications; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000046249,0.0000608647,0.00004706628,0.00001792343,0.000117804,0.00005295739,0.00003406099,0.00003060325,0.001316664],"category_scores_gemma":[0.000009243529,0.0000514516,0.00001531282,0.0000609931,0.00001847405,0.0003061721,0.00002490156,0.000062037,0.0009798073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004627535,"about_ca_system_score_gemma":9.536909e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003946959,"about_ca_topic_score_gemma":0.00007016909,"domain_scores_codex":[0.9995531,0.00001285794,0.0000827991,0.000143846,0.00008656581,0.0001207897],"domain_scores_gemma":[0.9998329,0.0000206512,0.0000241286,0.0000753404,0.000005039846,0.00004189687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006797731,0.0003641354,0.2900891,0.000006973866,0.00002181334,0.00000367808,0.0007744118,0.0003897919,0.4651367,0.0003576482,0.01477348,0.2280143],"study_design_scores_gemma":[0.0002230284,0.0002086852,0.9664198,0.000006750053,0.000004169787,0.000006828643,0.0004506727,0.01271609,0.01151813,0.00002547767,0.008305359,0.0001149698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912448,0.000003609458,0.0001618277,0.0002647457,0.0001348533,0.0001111572,4.725883e-7,0.00009779069,0.007980758],"genre_scores_gemma":[0.9986475,0.000004612441,0.0001600753,0.000136898,0.00005158513,0.00002533792,4.766043e-7,0.000005324052,0.0009681802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6763307,"threshold_uncertainty_score":0.9997981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008039026804655406,"score_gpt":0.2074749550019111,"score_spread":0.1994359281972557,"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."}}