{"id":"W7114792435","doi":"10.48550/arxiv.2512.07864","title":"Pattern Recognition of Ozone-Depleting Substance Exports in Global Trade Data","year":2025,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flagging; Pipeline (software); Unsupervised learning; Cluster analysis; Anomaly detection; Outlier; Value (mathematics)","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":[0.001749183,0.0002578879,0.0002507068,0.007740657,0.0002906778,0.001354505,0.0003850579,0.0004023941,0.001067396],"category_scores_gemma":[0.007209262,0.00009606631,0.0003751543,0.008771548,0.0003201023,0.0008690638,0.0006569289,0.0003832655,0.0004247615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006749955,"about_ca_system_score_gemma":0.0008000485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089377,"about_ca_topic_score_gemma":0.01861241,"domain_scores_codex":[0.9990989,0.0001442129,0.00015958,0.0002072015,0.0003201134,0.00006999428],"domain_scores_gemma":[0.9943799,0.002061249,0.001863724,0.0006087914,0.0009774003,0.0001090123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000213671,0.00007830642,0.7465956,0.0008647062,0.0003201287,0.001143573,0.0008967099,0.009843685,0.007338628,0.004551802,0.01622821,0.211925],"study_design_scores_gemma":[0.00002025735,0.0001231679,0.8425597,0.0002751102,0.0001917542,0.0006159197,0.002627089,0.04221791,0.01133371,0.008889566,0.09109179,0.00005395318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892364,0.002926725,0.02191666,0.001769617,0.0001119275,0.0001828752,0.0656499,0.0008428611,0.01736305],"genre_scores_gemma":[0.939429,0.001411892,0.01953624,0.0001741712,0.00007987769,0.000103208,0.03641528,0.00008524378,0.002765157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089377,"threshold_uncertainty_score":0.02166069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292265279624253,"score_gpt":0.2342008979827448,"score_spread":0.1049743700203195,"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."}}