{"id":"W2046450404","doi":"10.1007/s00138-008-0128-0","title":"BearCam: automated wildlife monitoring at the arctic circle","year":2008,"lang":"en","type":"article","venue":"Machine Vision and Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Computer science; Computer vision; Arctic; Motion (physics); The arctic; Artificial intelligence; Camera trap; Extension (predicate logic); Computer graphics (images); Wildlife; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001079507,0.00006496986,0.00005669288,0.00001307961,0.000919366,0.0000107176,0.0001071755,0.00003655356,0.0004601792],"category_scores_gemma":[0.00001368708,0.0000484256,0.00001967743,0.0001800742,0.0002048294,0.0000700122,0.0001429472,0.00008355572,0.0006817986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004252624,"about_ca_system_score_gemma":0.000004373759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001824789,"about_ca_topic_score_gemma":0.00005100534,"domain_scores_codex":[0.9994586,0.00003127701,0.0001094816,0.000182525,0.0001061864,0.0001119782],"domain_scores_gemma":[0.9996182,0.00007407036,0.00004055037,0.0002067453,0.000005290839,0.000055123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004345695,0.00004875283,0.9835739,0.000002040822,0.000003753051,7.137647e-7,0.00009632354,0.0001765991,0.0008999448,0.0000932109,0.006907825,0.008192628],"study_design_scores_gemma":[0.0001186725,0.00001486653,0.9518116,0.000002270236,0.000005338804,0.00001863625,0.00001191818,0.004330894,0.0000690992,0.0001728231,0.04338576,0.00005811816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925492,0.00006751393,0.0004397773,0.004950233,0.00003728753,0.0002468972,0.000003546774,0.0001432486,0.001562319],"genre_scores_gemma":[0.9973148,0.00007995951,0.0002074264,0.0009395575,0.000037902,0.0001230638,0.00001126755,0.00000627268,0.00127981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03647794,"threshold_uncertainty_score":0.8763369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020036571316164,"score_gpt":0.2550061647006515,"score_spread":0.2448057989874898,"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."}}