{"id":"W4395683571","doi":"10.23977/jaip.2024.070125","title":"Study on Eco-Management Program of Status of Illegal Trade in Wildlife","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife trade; Wildlife; Business; Environmental planning; Geography; Environmental protection; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002420598,0.00009951734,0.0002273595,0.000300181,0.00006209347,0.00006517646,0.0002315157,0.00004787757,0.00006627338],"category_scores_gemma":[0.0005193539,0.00008434489,0.00009797497,0.0005430229,0.0001705032,0.000577991,0.00003137552,0.0002844034,0.00001878555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002014691,"about_ca_system_score_gemma":0.0002223712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002502858,"about_ca_topic_score_gemma":0.000157639,"domain_scores_codex":[0.9973957,0.0003022316,0.0008886575,0.0001460253,0.001006722,0.0002606699],"domain_scores_gemma":[0.9987376,0.0005775898,0.0004222756,0.00009424834,0.00006301241,0.0001052462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001130157,0.008923558,0.005225347,0.00008858916,0.0004886265,0.0007652288,0.1180447,0.003845891,0.0001658347,0.08909852,0.0013018,0.7709218],"study_design_scores_gemma":[0.0001992983,0.004447348,0.03056322,0.0006786215,0.0002919239,0.00001893683,0.4681717,0.0003898367,0.002416043,0.008114291,0.4843187,0.0003900615],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414688,0.0006872973,0.00133262,0.01398322,0.001875653,0.001293866,0.00000312526,0.00002633321,0.03932904],"genre_scores_gemma":[0.9954306,0.001847801,0.002406533,0.00007488533,0.0001311761,0.00000753178,2.951905e-7,0.000008167017,0.00009295076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7705317,"threshold_uncertainty_score":0.3439485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08843209001986224,"score_gpt":0.4103927399141254,"score_spread":0.3219606498942632,"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."}}