{"id":"W2092892873","doi":"10.1007/s10592-006-9173-2","title":"Species Identification of Tarantulas using Exuviae for International Wildlife Law Enforcement","year":2006,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Zoo; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wildlife trade; Biology; Wildlife; Mitochondrial DNA; Identification (biology); Law enforcement; Biodiversity; Enforcement; Zoology; Law; Ecology; Gene; Political science; Genetics","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":[0.000230342,0.0001050444,0.00009554878,0.00006615463,0.0001093219,0.00004989892,0.0002008599,0.00009021479,0.00004780618],"category_scores_gemma":[0.00008123076,0.0001227897,0.00008198834,0.00009007337,0.0001315639,0.000008837005,0.00003347882,0.00002485365,0.000007438751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002102643,"about_ca_system_score_gemma":0.00006178348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005244373,"about_ca_topic_score_gemma":0.0000479592,"domain_scores_codex":[0.9988158,0.00002685132,0.0006109114,0.0002488194,0.0001830805,0.0001144908],"domain_scores_gemma":[0.9983953,0.00001674087,0.0003838558,0.0003272367,0.0008528447,0.0000239779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003356205,0.00006948382,0.004201694,0.00002472598,0.00003257299,3.022959e-8,0.00002774908,0.002138346,0.9213496,0.06473352,0.007296778,0.00009198504],"study_design_scores_gemma":[0.0004483684,0.0000341915,0.01430819,0.000007137764,0.00002643732,0.000001496898,0.00007406581,0.009132013,0.6899313,0.0004912635,0.2854109,0.0001345614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8252367,0.0001566379,0.1711458,0.0004275804,0.0009596701,0.0004206729,0.0001416718,0.00001301472,0.001498265],"genre_scores_gemma":[0.989278,0.00005158476,0.004330175,0.0003837642,0.0003295891,0.00004167968,0.001312288,0.00001835345,0.004254577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2781142,"threshold_uncertainty_score":0.500722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854748896964673,"score_gpt":0.2914291166484007,"score_spread":0.252881627678754,"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."}}