{"id":"W6907811572","doi":"10.25318/2210007301-fra","title":"Commerce électronique, commandes électroniques, selon la destination et la région","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Order (exchange); Limiting; Quality (philosophy)","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":[0.0007734711,0.001700942,0.001329397,0.006677161,0.0009675047,0.00252186,0.002154453,0.001218096,0.03757867],"category_scores_gemma":[0.005249834,0.0007146618,0.001075229,0.0189105,0.0004617083,0.001511488,0.00155092,0.002144112,0.02704091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007237731,"about_ca_system_score_gemma":0.01462704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8211846,"about_ca_topic_score_gemma":0.8612049,"domain_scores_codex":[0.9989868,0.00005833437,0.0001151146,0.0001787994,0.0003496479,0.0003112147],"domain_scores_gemma":[0.9956948,0.0004803955,0.0004201636,0.0002749117,0.002713043,0.0004167408],"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":[0.00003082205,0.000008555507,0.002279033,0.0003646107,0.00001997911,0.00001067253,0.0000269661,0.0001626024,0.00002340254,0.0004531469,0.9952794,0.001340801],"study_design_scores_gemma":[0.0001331098,0.00001042363,0.04873979,0.0006161155,0.00003539127,0.00004003386,0.000322857,0.0003634595,0.000198184,0.0004916246,0.9489985,0.00005066723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009491045,0.00003964679,0.00000852381,0.00003257069,0.00001101419,0.000002971086,0.9994321,0.00002535691,0.0003527153],"genre_scores_gemma":[0.0006475884,0.000111145,0.00008114894,0.0000302134,0.00000630781,0.00003213323,0.9977562,0.00001793894,0.001317432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1788154,"threshold_uncertainty_score":0.3597369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009182669073953046,"score_gpt":0.2933447798147714,"score_spread":0.2841621107408183,"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."}}