{"id":"W7100028640","doi":"","title":"ROAD WATCH IN THE PASS: WEB-BASED CITIZEN INVOLVEMENT IN WILDLIFE DATA COLLECTION","year":2010,"lang":"en","type":"article","venue":"","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Citizen science; Data collection; Wildlife corridor; Upgrade; Wildlife conservation; Relation (database)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01377474,0.0004821649,0.0003955101,0.00120592,0.001199435,0.002263931,0.001187624,0.001155807,0.009360514],"category_scores_gemma":[0.01521658,0.0004219667,0.0003988711,0.001052406,0.0007955734,0.003731412,0.004932122,0.0008259518,0.002182884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217385,"about_ca_system_score_gemma":0.001792452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003033228,"about_ca_topic_score_gemma":0.006557949,"domain_scores_codex":[0.9917687,0.005880418,0.0003231431,0.0007865249,0.0008397823,0.00040144],"domain_scores_gemma":[0.9850788,0.009183993,0.0007495416,0.002566758,0.0008567629,0.001564166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001316614,0.002054296,0.03309096,0.0008157766,0.0001640199,0.001434698,0.03532105,0.001171104,0.01643749,0.006700158,0.07782827,0.8236657],"study_design_scores_gemma":[0.001166388,0.003127592,0.08585691,0.001043386,0.0004427618,0.002223748,0.03787143,0.0467022,0.01812471,0.02740692,0.7754704,0.0005635485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3163576,0.0009004881,0.4874367,0.01275287,0.000414807,0.007853744,0.005383471,0.03343059,0.1354697],"genre_scores_gemma":[0.5675297,0.0005192905,0.3989189,0.001240134,0.0002060497,0.005778022,0.003991311,0.00109042,0.02072611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01377474,"threshold_uncertainty_score":0.07284862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229976891160384,"score_gpt":0.2561984276626999,"score_spread":0.2332007385466615,"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."}}