{"id":"W6926529287","doi":"10.25318/3610036101-fra","title":"Bilan des investissements internationaux, investissements de portefeuille canadiens à l'étranger à la valeur au marché, selon les pays, annuel","year":2019,"lang":"fr","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":"Milkfish; Medium term","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":[0.001389759,0.0009311728,0.001359577,0.005520402,0.0005496002,0.002121967,0.001483651,0.001134082,0.02235385],"category_scores_gemma":[0.01524815,0.0004624237,0.001352527,0.01396204,0.000354723,0.0009162683,0.000886491,0.001842832,0.01126067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004956605,"about_ca_system_score_gemma":0.01047281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5342342,"about_ca_topic_score_gemma":0.5861901,"domain_scores_codex":[0.9985271,0.0001599042,0.0001861023,0.0003949909,0.0004592707,0.000272787],"domain_scores_gemma":[0.9932554,0.002369932,0.001017414,0.0005251452,0.002336734,0.0004953065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002422208,0.00002552928,0.03034278,0.001656532,0.0002860001,0.00003731691,0.00005491888,0.001311447,0.00009239998,0.001375791,0.9578126,0.006762509],"study_design_scores_gemma":[0.0004303995,0.00003742192,0.1245761,0.001034886,0.0003098574,0.0001447997,0.0002455249,0.001306479,0.0003370592,0.001367279,0.8701366,0.00007362165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007674844,0.0003879828,0.00003334675,0.0001735722,0.00002180188,0.000003251559,0.9977819,0.00005643077,0.0007741943],"genre_scores_gemma":[0.006355277,0.0005917691,0.0002335824,0.0001414755,0.00002746697,0.00003893835,0.9900421,0.0000416577,0.00252766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4657658,"threshold_uncertainty_score":0.9370175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688309975031892,"score_gpt":0.2725167262551662,"score_spread":0.2556336265048472,"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."}}