{"id":"W2792327141","doi":"10.26798/jiko.2018.v3i1.84","title":"ANALISIS FAKTOR-FAKTOR PENERIMAAN DAN NIAT KEBERLANJUTAN PENGGUNAAN PORTAL AKADEMIK SIAKAD STMIK AKAKOM MENGGUNAKAN TAM SERTA MODEL DELONE DAN MCLEAN","year":2018,"lang":"en","type":"article","venue":"JIKO (Jurnal Informatika dan Komputer)","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"User satisfaction; Computer science; Information system; Knowledge management; Quality (philosophy); Information quality; Human–computer interaction; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001441552,0.001126824,0.001003171,0.0009827495,0.001277504,0.001891727,0.001921129,0.0003454934,0.0002995981],"category_scores_gemma":[0.0001792762,0.00107959,0.0005358442,0.001188016,0.000416385,0.006742699,0.001234122,0.0009699305,0.0003518207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215489,"about_ca_system_score_gemma":0.0002272243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000928019,"about_ca_topic_score_gemma":0.0006111867,"domain_scores_codex":[0.9937862,0.0000692891,0.002197947,0.0009236363,0.001397706,0.001625218],"domain_scores_gemma":[0.995945,0.0001036725,0.001466571,0.001344604,0.0008177455,0.0003223445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001310997,0.001185955,0.634291,0.001774525,0.00108431,0.0005419344,0.007352796,0.002968083,0.006932025,0.01633264,0.09845655,0.2277692],"study_design_scores_gemma":[0.005391991,0.0004272298,0.3077197,0.001010731,0.001304249,0.0005280537,0.004965117,0.4849515,0.0009592006,0.0003730677,0.1867789,0.005590188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697333,0.00009192043,0.001846983,0.0005787358,0.001336032,0.0006909904,0.00005544944,0.0007295705,0.02493704],"genre_scores_gemma":[0.9888476,0.00003863018,0.002957973,0.004552171,0.002757459,0.0000450835,0.000379231,0.0001527335,0.0002691422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4819834,"threshold_uncertainty_score":0.9991654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176090942566686,"score_gpt":0.2451631503483451,"score_spread":0.2275540560916765,"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."}}