{"id":"W6907740622","doi":"10.25318/3610006201-fra","title":"Opérations internationales en valeurs mobilières, opérations de portefeuille en actions canadiennes avec les non-résidents, par catégorie","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Context (archaeology); Legislation; Closure (psychology)","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":[0.0009202487,0.001630023,0.001279984,0.01022209,0.0009220805,0.003329334,0.001689692,0.0009777877,0.04827577],"category_scores_gemma":[0.00912359,0.0007531332,0.00116604,0.02732032,0.0004796282,0.001814868,0.001366193,0.001870558,0.03113566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006583488,"about_ca_system_score_gemma":0.01390556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6405191,"about_ca_topic_score_gemma":0.6986986,"domain_scores_codex":[0.998248,0.0001492707,0.0002638214,0.0003532582,0.0006515927,0.000334079],"domain_scores_gemma":[0.9950565,0.000985672,0.0006037215,0.0005365577,0.002505824,0.0003116384],"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":[0.00003458526,0.00000993259,0.003666369,0.0006369289,0.00003240311,0.00001418142,0.00005482795,0.0002999275,0.00003759328,0.001432126,0.9906138,0.003167358],"study_design_scores_gemma":[0.00006090575,0.000004918984,0.01870142,0.000413033,0.00002646053,0.00003310725,0.0002434558,0.0002151771,0.0001720076,0.0006624347,0.9794392,0.00002791411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001386886,0.00009229596,0.00002854518,0.00004477995,0.00001504508,0.000004820601,0.9985097,0.00005446002,0.001111583],"genre_scores_gemma":[0.0009046093,0.0002606085,0.0001980243,0.00003107376,0.000009682077,0.0000376844,0.9967453,0.00003983805,0.001773125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3594809,"threshold_uncertainty_score":0.7231959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243072053141937,"score_gpt":0.2855435408236246,"score_spread":0.2731128202922052,"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."}}