{"id":"W6928061614","doi":"10.34989/sdp-2023-14","title":"Cryptoasset Ownership and Use in Canada: An Update for 2022","year":2023,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; York University","funders":"York University","keywords":"Database transaction; Government (linguistics); Public ownership; Key (lock); Work (physics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002034707,0.001158652,0.001164298,0.01613843,0.001647999,0.00425928,0.002701208,0.001047282,0.01169686],"category_scores_gemma":[0.008282601,0.0006920729,0.001213368,0.03899315,0.0008696748,0.003035639,0.001456121,0.002124833,0.002425017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03988366,"about_ca_system_score_gemma":0.07195002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927968,"about_ca_topic_score_gemma":0.9939092,"domain_scores_codex":[0.9961067,0.00006534757,0.0004178949,0.0002252803,0.002606394,0.0005784763],"domain_scores_gemma":[0.9684215,0.000944563,0.002091567,0.0003825668,0.02572645,0.00243348],"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":[0.000259096,0.00009987982,0.1958596,0.00275641,0.0002750204,0.0002825504,0.0008735247,0.0008606958,0.000239067,0.001608548,0.606631,0.1902546],"study_design_scores_gemma":[0.00002381504,0.00004239696,0.4812388,0.002180965,0.0002083534,0.0003293125,0.001389375,0.0005363581,0.0005465997,0.0002683802,0.5130904,0.0001452514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04601676,0.088479,0.000784364,0.00953792,0.001330632,0.0002286689,0.8125667,0.0006886958,0.04036736],"genre_scores_gemma":[0.2199562,0.1745105,0.004243059,0.006114505,0.0008082634,0.0002944681,0.5513716,0.000407503,0.04229392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03988366,"threshold_uncertainty_score":0.2893776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190928301741349,"score_gpt":0.2299799474783662,"score_spread":0.2108871173042313,"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."}}