{"id":"W4402424056","doi":"10.23977/acss.2024.080516","title":"Research on Reducing the Number of Illegal Animal Trade Based on Machine Learning and Comprehensive Assessment Modeling","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002369092,0.000797548,0.0006599079,0.002314436,0.0003731258,0.001536131,0.0008272877,0.0006051061,0.001336818],"category_scores_gemma":[0.007977029,0.0002357176,0.0007097536,0.001808968,0.0008397719,0.002343683,0.000840585,0.0008605214,0.0001270944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247563,"about_ca_system_score_gemma":0.00233942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008295155,"about_ca_topic_score_gemma":0.007587858,"domain_scores_codex":[0.9986628,0.0005607059,0.0000665584,0.0001996861,0.0004037481,0.0001065123],"domain_scores_gemma":[0.9941506,0.003934938,0.0008918308,0.0002138241,0.0006849361,0.0001239853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004014793,0.0002583597,0.02039102,0.0004646113,0.000366892,0.00009350667,0.0002335368,0.6432513,0.0008756625,0.05752021,0.001579279,0.2749254],"study_design_scores_gemma":[0.000005840056,0.0001632647,0.008156732,0.0002041254,0.00008991687,0.00005470809,0.0002323054,0.9378239,0.0009139196,0.04867128,0.003649879,0.00003415256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1974488,0.009219039,0.7601938,0.004284478,0.0001338237,0.0001875737,0.0001716148,0.000339796,0.0280211],"genre_scores_gemma":[0.9456759,0.003962729,0.04793968,0.000151511,0.00005583378,0.00007808915,0.0001569689,0.00002157348,0.001957713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008295155,"threshold_uncertainty_score":0.01649374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08554178791812658,"score_gpt":0.4534547851663153,"score_spread":0.3679129972481887,"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."}}