{"id":"W6997111642","doi":"","title":"$1 Trillion Bitcoin Reserve, Ai Integration and Retail Adoption. 10 Crypto Trends Defining 2025 – US and Canada Report","year":2025,"lang":"en","type":"other","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Government (linguistics); Payment; Feature (linguistics)","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":[0.0005221636,0.0002763802,0.0001131254,0.00125113,0.0008832511,0.002725628,0.0004533648,0.001005512,0.04633997],"category_scores_gemma":[0.002738558,0.0001227979,0.0002656213,0.002201571,0.0004204971,0.001607911,0.0008082577,0.001003136,0.00831819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007880945,"about_ca_system_score_gemma":0.01113111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6916077,"about_ca_topic_score_gemma":0.8398779,"domain_scores_codex":[0.9992599,0.00003489381,0.00001685707,0.00004482086,0.0004353151,0.0002081508],"domain_scores_gemma":[0.9979925,0.0002780586,0.0001994756,0.00005277247,0.001077587,0.0003994688],"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":[0.0002706776,0.00009985643,0.02193631,0.0001506472,0.00002154624,0.00008841645,0.0001961874,0.0003722912,0.000391271,0.02825525,0.8833302,0.06488731],"study_design_scores_gemma":[0.00003701215,0.00007095229,0.1828509,0.0002172928,0.00004707288,0.00009973695,0.001721769,0.002007171,0.002156376,0.00563332,0.8051137,0.00004460827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0827468,0.006668672,0.001660169,0.03372365,0.001283553,0.0001399624,0.121804,0.001084235,0.7508889],"genre_scores_gemma":[0.4835026,0.006602837,0.001042234,0.003681329,0.0003095689,0.00005924719,0.05109597,0.0002000222,0.4535061],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3083923,"threshold_uncertainty_score":0.6204169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009519109674472408,"score_gpt":0.2377765234919387,"score_spread":0.2282574138174663,"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."}}