{"id":"W2111149832","doi":"10.22621/cfn.v127i4.1512","title":"Canada Lynx (&lt;em&gt;Lynx canadensis&lt;/em&gt;) detection and behaviour using remote cameras during the breeding season","year":2014,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Geography; Camera trap; Seasonal breeder; Snow; Remote sensing; Habitat; Cartography; Ecology; Biology; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000439268,0.0001993154,0.0001525862,0.00004721578,0.001874939,0.0001323091,0.0003564354,0.0001866803,0.0004232466],"category_scores_gemma":[0.0002279132,0.0001543684,0.00004080541,0.0002517947,0.0001472681,0.0001765746,0.00008884623,0.000469428,0.00001959596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385568,"about_ca_system_score_gemma":0.0003069191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948606,"about_ca_topic_score_gemma":0.9999383,"domain_scores_codex":[0.9984853,0.0001529319,0.0001999692,0.0003470089,0.0002800216,0.0005347253],"domain_scores_gemma":[0.9990177,0.0001467543,0.0001128292,0.0003979759,0.00002909032,0.0002956173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001570698,0.00002182628,0.7962355,0.00007785534,0.0002157904,0.0003156964,0.004534977,0.003769852,0.02350058,0.000891473,0.1156013,0.05467808],"study_design_scores_gemma":[0.0002239271,0.0000223533,0.9639713,0.00002425087,0.00007529057,0.0001794024,0.0002962476,0.009600585,0.0006405371,0.0001067666,0.02452987,0.0003295009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846235,0.0000619821,0.00001364997,0.01307378,0.0006157741,0.0002276743,0.00001750386,0.00001973168,0.001346409],"genre_scores_gemma":[0.9900361,0.000007041101,0.00004975174,0.007841516,0.0001915359,0.000004843565,0.000006447921,0.00001833892,0.001844383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1677358,"threshold_uncertainty_score":0.9994245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00915180844318476,"score_gpt":0.1942125061306083,"score_spread":0.1850606976874235,"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."}}