{"id":"W4238056769","doi":"10.32920/ryerson.14661339","title":"Technology readiness, attitude towards computers and computer literacy among first year nursing students : A Canadian perspective","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Preparedness; Computer literacy; Perspective (graphical); Literacy; Medical education; Sample (material); Psychology; Computer technology; Nursing; Medicine; Mathematics education; Pedagogy; Computer science; Multimedia; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009215149,0.0002460723,0.000307817,0.001721069,0.003313966,0.002110966,0.0004584986,0.0003894798,0.002709134],"category_scores_gemma":[0.003479243,0.0002356273,0.0002598793,0.00183934,0.001160002,0.0004269209,0.0008027358,0.0009283946,0.0002552528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007495674,"about_ca_system_score_gemma":0.01502587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9276039,"about_ca_topic_score_gemma":0.9644539,"domain_scores_codex":[0.9993031,0.00006989844,0.0000219165,0.00005336598,0.0003000913,0.000251645],"domain_scores_gemma":[0.9972001,0.00048662,0.0003674837,0.00004046596,0.0009085815,0.0009967773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000637613,0.0002639259,0.942024,0.000069386,0.00001318985,0.0002262178,0.03859906,0.00005423105,0.0007704712,0.0003147013,0.0005501711,0.01705094],"study_design_scores_gemma":[0.000003662782,0.0001521967,0.9632527,0.00005882834,0.00001158953,0.0001256558,0.03398721,0.0001190577,0.0001805169,0.0000435085,0.002046548,0.00001856632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970949,0.0001638009,0.00003530191,0.0001281182,0.000004826109,0.00002407641,0.0001022184,0.00000222568,0.002444514],"genre_scores_gemma":[0.9981292,0.0003819329,0.0001329337,0.00008775522,0.000002500765,0.00001273207,0.00009778242,0.000001671382,0.001153514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0723961,"threshold_uncertainty_score":0.1456448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288829505673772,"score_gpt":0.3565311878530226,"score_spread":0.3436428927962848,"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."}}