{"id":"W3164148600","doi":"10.7287/peerj-cs.502v0.1/reviews/3","title":"Peer Review #3 of \"Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system (v0.1)\"","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Waterloo","keywords":"Blockchain; Computer science; Technology acceptance model; Data science; Computer security; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01541081,0.0005739636,0.001248619,0.003554878,0.005144256,0.006870992,0.003379242,0.003286441,0.2225845],"category_scores_gemma":[0.1383426,0.000516588,0.001039489,0.002836483,0.001912348,0.003818468,0.004551188,0.002698435,0.09685777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602622,"about_ca_system_score_gemma":0.01647332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006281273,"about_ca_topic_score_gemma":0.01268009,"domain_scores_codex":[0.979914,0.00484479,0.001523067,0.001259711,0.0112152,0.00124322],"domain_scores_gemma":[0.7913164,0.02350455,0.006564699,0.009614356,0.1587754,0.0102245],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007900495,0.00004687089,0.001901652,0.00122196,0.00003386244,0.0002123379,0.0003755592,0.0001614122,0.0006639285,0.003344656,0.8951599,0.09679892],"study_design_scores_gemma":[0.00004101323,0.00005566725,0.00444114,0.0008319974,0.00003531683,0.00016153,0.0006287244,0.001029614,0.0006883359,0.002501331,0.9895467,0.00003853957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02181495,0.0112855,0.02976719,0.2569749,0.2265889,0.008363908,0.009263881,0.003383609,0.4325573],"genre_scores_gemma":[0.1517906,0.0170681,0.02178517,0.02799804,0.04351452,0.004964377,0.01108028,0.002847047,0.718952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9845892,"threshold_uncertainty_score":0.7446194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2120536647303186,"score_gpt":0.4168566744075074,"score_spread":0.2048030096771888,"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."}}