{"id":"W6894309807","doi":"10.5683/sp3/vbu1ms","title":"Données du commerce international de marchandise par classification de produit, 1993","year":2025,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Context (archaeology); Identity (music); Subject (documents)","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":[0.001669463,0.002479913,0.001565553,0.01059011,0.001110244,0.003940098,0.002097076,0.002032444,0.03864473],"category_scores_gemma":[0.01046049,0.0007993344,0.001676268,0.01822619,0.0005589611,0.001414147,0.001483898,0.002015268,0.04952591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003809893,"about_ca_system_score_gemma":0.004964808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2256493,"about_ca_topic_score_gemma":0.2159409,"domain_scores_codex":[0.9970821,0.0003214601,0.0004738738,0.0006784891,0.001051812,0.0003923002],"domain_scores_gemma":[0.9952387,0.001184193,0.0006812756,0.0008731874,0.001711364,0.0003112674],"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":[0.0001235749,0.00003767592,0.002817898,0.0007740515,0.00006263617,0.00005252788,0.00006966942,0.0005431964,0.0002111031,0.0007687811,0.9883946,0.006144249],"study_design_scores_gemma":[0.0001606256,0.00001897316,0.0297376,0.0004221095,0.00004842383,0.0001013319,0.0002180537,0.000545348,0.000517641,0.0006888189,0.9674988,0.00004221483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004077745,0.0001690028,0.00003767776,0.00004462482,0.00001615966,0.000005945681,0.9985373,0.0001074793,0.0006739662],"genre_scores_gemma":[0.0005856969,0.00009815314,0.0001681049,0.00001122769,0.000004780453,0.00003210107,0.9983472,0.00002198035,0.0007307619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2256493,"threshold_uncertainty_score":0.4486718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06014060319097329,"score_gpt":0.2420731965626257,"score_spread":0.1819325933716525,"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."}}