{"id":"W3209131957","doi":"10.1016/j.dib.2021.107531","title":"Dataset of seized wildlife and their intended uses","year":2021,"lang":"en","type":"article","venue":"Data in Brief","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada","funders":"University of Adelaide","keywords":"Wildlife; Taxon; Wildlife trade; The Internet; Biosecurity; Geography; Social media; Business; Internet privacy; World Wide Web; Computer science; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007056836,0.0008700586,0.0007597176,0.004606217,0.0008126031,0.001257204,0.001167287,0.001301395,0.01058618],"category_scores_gemma":[0.00408507,0.0003146179,0.0007868573,0.006185461,0.0004813523,0.00124715,0.001749008,0.001169251,0.01415087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008791475,"about_ca_system_score_gemma":0.001594836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193424,"about_ca_topic_score_gemma":0.02379344,"domain_scores_codex":[0.9987721,0.0001477974,0.0002793498,0.0003348003,0.0003129267,0.0001531349],"domain_scores_gemma":[0.9973002,0.0006123246,0.0006064806,0.0005710871,0.0006975359,0.0002124818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007391709,0.0003254227,0.1420482,0.003784979,0.0002733583,0.0009956351,0.0006750798,0.003014562,0.004857025,0.004262939,0.7816936,0.05733],"study_design_scores_gemma":[0.0001078215,0.00008476927,0.1503092,0.0007341642,0.00009355778,0.0009099964,0.001071591,0.002838105,0.002268874,0.001812993,0.8396743,0.00009463479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01122214,0.0003116877,0.0005475844,0.0001381001,0.00005348432,0.00005482069,0.9850427,0.000237502,0.002392007],"genre_scores_gemma":[0.008543021,0.0001790049,0.001639028,0.00007325332,0.00001477891,0.0001123803,0.988318,0.00002752761,0.001092969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01193424,"threshold_uncertainty_score":0.03541428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05286214119863539,"score_gpt":0.3118352849400473,"score_spread":0.2589731437414119,"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."}}