{"id":"W2791365052","doi":"","title":"KICK-SPEED YOUÃ¢ÂÂR ICO-A DESCRIPTION OF THE FIRST ICO ACCELERATOR PROGRAM (ICONIQ LAB)","year":2018,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Security token; Club; Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001511873,0.0006081866,0.0003466809,0.001362626,0.00228474,0.003799719,0.0008338022,0.001208711,0.1346687],"category_scores_gemma":[0.002551755,0.0004220894,0.0003073683,0.001247009,0.0006604116,0.003384618,0.002404529,0.001971594,0.05515939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002615117,"about_ca_system_score_gemma":0.005792179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234534,"about_ca_topic_score_gemma":0.01921472,"domain_scores_codex":[0.9983618,0.0001277582,0.00003914729,0.0001538162,0.0008576252,0.0004598862],"domain_scores_gemma":[0.9985399,0.0001106926,0.00008370799,0.0002711425,0.000503441,0.0004912107],"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":[0.0007169915,0.0003255025,0.002408305,0.0002411837,0.00001109899,0.0003138529,0.000466939,0.002486671,0.00684919,0.1817017,0.584513,0.2199655],"study_design_scores_gemma":[0.00003034193,0.00009502894,0.0005732767,0.00004129733,0.000001803406,0.0001035552,0.00006383076,0.001534605,0.002063656,0.002706148,0.9927591,0.00002743531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01158963,0.001673409,0.04508619,0.003879584,0.002302586,0.001489747,0.003269228,0.008025819,0.9226838],"genre_scores_gemma":[0.109582,0.001938023,0.04459044,0.001241012,0.0004099066,0.0007818447,0.005281966,0.001914869,0.8342597],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1346687,"threshold_uncertainty_score":0.4505116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437294562768175,"score_gpt":0.2536782739271946,"score_spread":0.2293053282995129,"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."}}