{"id":"W6926365170","doi":"10.25318/1210008401-eng","title":"Merchandise imports from individual countries and areas of origin, customs basis not seasonally adjusted","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); European union; Western europe; Economic data; Eu countries","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":[0.0005029797,0.001120653,0.001087736,0.004286759,0.000476651,0.001647491,0.00130174,0.0007749962,0.04079137],"category_scores_gemma":[0.005200186,0.0005049601,0.0008133627,0.01269844,0.0002607288,0.0007641966,0.0006432407,0.001331776,0.04192219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096159,"about_ca_system_score_gemma":0.003124279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1451016,"about_ca_topic_score_gemma":0.1506673,"domain_scores_codex":[0.999178,0.00006572194,0.0001261796,0.0002249643,0.0002656472,0.0001395533],"domain_scores_gemma":[0.9969531,0.000609926,0.0006436564,0.0003505319,0.001267986,0.0001747482],"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":[0.00009643675,0.00002567845,0.006921513,0.0003835165,0.00005765425,0.00002994297,0.00001671814,0.0005916519,0.00006664954,0.0005123044,0.9887437,0.00255424],"study_design_scores_gemma":[0.0002187908,0.00002681767,0.04726319,0.0003603206,0.00007570141,0.0000879658,0.0001618456,0.0007036952,0.0004256049,0.0005735402,0.9500685,0.00003401856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004479105,0.00004840502,0.00002053663,0.00003690141,0.00001564634,0.000003538725,0.9987062,0.00004315747,0.0006776641],"genre_scores_gemma":[0.001539719,0.00008517459,0.00008078755,0.00002482699,0.000009347147,0.0000231147,0.9965206,0.00002139471,0.001694926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8548985,"threshold_uncertainty_score":0.288514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351033247335445,"score_gpt":0.2592926246833756,"score_spread":0.2457822922100212,"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."}}