{"id":"W3216456777","doi":"10.1111/caje.12620","title":"Bitcoin adoption and beliefs in Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Endogeneity; Percentage point; Social learning; Social network (sociolinguistics); Point (geometry); Social influence; Econometrics; Economics; Business; Psychology; Computer science; Social psychology; Knowledge management; Social media; Mathematics; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001140949,0.0002809662,0.0005188193,0.001149145,0.001520094,0.002784237,0.0010213,0.0007153064,0.007065331],"category_scores_gemma":[0.00637454,0.0002802056,0.0004606239,0.002545564,0.001294784,0.001139671,0.0008637308,0.001271998,0.0004324993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0387593,"about_ca_system_score_gemma":0.02513063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875026,"about_ca_topic_score_gemma":0.9833723,"domain_scores_codex":[0.9991622,0.0001170508,0.00002577091,0.0001135135,0.0002383857,0.0003432299],"domain_scores_gemma":[0.9958457,0.001249606,0.0009818076,0.0001425191,0.001208974,0.0005713893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003822959,0.00022038,0.716204,0.0001736339,0.0002341943,0.000978307,0.002766991,0.1550849,0.0008710026,0.07130357,0.02166147,0.03011928],"study_design_scores_gemma":[0.0002376991,0.0001407864,0.444097,0.0002587054,0.0002889284,0.0002647667,0.005533857,0.4843431,0.001127907,0.02165441,0.04183557,0.0002171379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578224,0.0009908021,0.004021144,0.006646452,0.00002848977,0.0001022019,0.008082825,0.000104659,0.0222009],"genre_scores_gemma":[0.9941783,0.0004278764,0.0003482433,0.0001066784,0.000006341902,0.00001315028,0.0008930715,0.00000667136,0.004019589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0387593,"threshold_uncertainty_score":0.2812198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04843531925764571,"score_gpt":0.1552292814652669,"score_spread":0.1067939622076212,"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."}}