{"id":"W2233302497","doi":"","title":"Exportation de manteaux de fourrure canadien au Japon","year":2003,"lang":"fr","type":"article","venue":"Publications Études & Analyses","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Exportation; Geography; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007259341,0.0002749383,0.0002702639,0.00007372998,0.0008523037,0.0004527931,0.0004705823,0.0002317323,0.004157576],"category_scores_gemma":[0.001415295,0.0001287849,0.0002522231,0.001636975,0.0002262472,0.0006382844,0.00004757321,0.0003010298,0.0001822819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008986205,"about_ca_system_score_gemma":0.0004684439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0419073,"about_ca_topic_score_gemma":0.1140566,"domain_scores_codex":[0.9971188,0.0004058376,0.000433114,0.0004812575,0.000408729,0.00115221],"domain_scores_gemma":[0.9980549,0.0003041249,0.0001611149,0.0001632584,0.0005957362,0.000720862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001839754,0.0008642956,0.1635109,0.00008721224,0.0004314581,0.00003163105,0.002104747,0.0002969076,0.1835641,0.5679653,0.02921988,0.05190514],"study_design_scores_gemma":[0.0001641805,0.0002277551,0.5414362,0.0000744522,0.000253015,0.0001264082,0.007950845,0.0006606449,0.00790329,0.002645975,0.4380183,0.000538968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185457,0.002617873,0.00006605656,0.04753941,0.0001525159,0.0003284943,0.00009705003,0.00008928731,0.03056357],"genre_scores_gemma":[0.9547589,0.0005937081,0.0007047663,0.0004768679,0.0003748591,0.0001327207,0.0002549239,0.000003560765,0.04269967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5653193,"threshold_uncertainty_score":0.9967527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279901788261778,"score_gpt":0.3764210051855904,"score_spread":0.2484308263594126,"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."}}