{"id":"W7037019687","doi":"","title":"#CryptoCorner: BTC Drops Nearly $2K After Brief Bull Run, Binance Announces 2.0 With Margin Trading, Canada Amends Crypto Regulation","year":2019,"lang":"en","type":"other","venue":"","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Net interest margin; Profit margin; Payment","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":[0.0008811636,0.0006438577,0.000378414,0.0009276575,0.005852784,0.005556988,0.001361387,0.005630519,0.2369941],"category_scores_gemma":[0.003904118,0.0005724914,0.0005516438,0.0008389958,0.001099542,0.001831617,0.001353009,0.004905354,0.1254202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008933141,"about_ca_system_score_gemma":0.01316935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4961043,"about_ca_topic_score_gemma":0.6608785,"domain_scores_codex":[0.9978157,0.00006398247,0.00004060881,0.0001843756,0.001411443,0.0004838839],"domain_scores_gemma":[0.9978877,0.0001623186,0.00005098014,0.0001060877,0.001577884,0.000215022],"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":[0.00003282498,0.00001740248,0.0002359444,0.00002347731,0.000001827188,0.00005333139,0.00004776776,0.00003105348,0.0003564517,0.01314962,0.9805714,0.005478915],"study_design_scores_gemma":[0.00001525539,0.00001601875,0.002073518,0.00004326074,0.000004174611,0.00003577962,0.0001186081,0.0001361989,0.0005651371,0.001338552,0.9956346,0.00001898761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001622985,0.0003987592,0.0005202491,0.008220943,0.001131015,0.0001213914,0.005402201,0.0007746081,0.9818078],"genre_scores_gemma":[0.005467834,0.0001130312,0.0001264883,0.004596993,0.00005789559,0.00003171409,0.0009861662,0.0001477477,0.9884723],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5038957,"threshold_uncertainty_score":0.9864333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003746646743511282,"score_gpt":0.1607008809541216,"score_spread":0.1569542342106104,"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."}}