{"id":"W3091785415","doi":"10.5210/spir.v2020i0.11234","title":"THE MANY SIDES OF A COIN: EXPLORING THE COST AND VALUE OF TOKENS INCHATURBATE","year":2020,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Security token; Payment; Value (mathematics); Currency; Contrast (vision); Unit of account; Unit (ring theory); Business; Internet privacy; Computer security; Computer science; Economics; World Wide Web; Monetary economics; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002516054,0.0002769278,0.0003695842,0.002207336,0.002493563,0.01050827,0.001187701,0.001486227,0.009723093],"category_scores_gemma":[0.01917113,0.0003120994,0.0003018202,0.002409644,0.01031776,0.0163533,0.004091335,0.002116026,0.0004631959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005801548,"about_ca_system_score_gemma":0.001461539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034353,"about_ca_topic_score_gemma":0.007763144,"domain_scores_codex":[0.9976181,0.001494142,0.00004277791,0.0001303188,0.0004711975,0.0002433708],"domain_scores_gemma":[0.9847836,0.01232226,0.001286516,0.0003894513,0.0007686511,0.0004495074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005980818,0.0001835429,0.02337718,0.0002614882,0.00005054563,0.0005637751,0.01881348,0.001809134,0.0008392797,0.9004996,0.002834402,0.05016942],"study_design_scores_gemma":[0.0001029303,0.0003845995,0.05831537,0.001106941,0.0001900318,0.0007422465,0.1201663,0.01530895,0.002283458,0.7298167,0.07142586,0.0001566299],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7271987,0.004248246,0.01055838,0.009586558,0.0001129036,0.00007012521,0.0001512291,0.00003028095,0.2480435],"genre_scores_gemma":[0.9940888,0.0006330878,0.001174522,0.0002097965,0.00003355841,0.00002225574,0.00002243248,0.00002664156,0.003789125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050827,"threshold_uncertainty_score":0.04209334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09814108652108532,"score_gpt":0.2871085224454665,"score_spread":0.1889674359243812,"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."}}