{"id":"W4398250772","doi":"10.1371/journal.pone.0304109","title":"Understanding the log file data from educational and psychological computer-based testing: A scoping review protocol","year":2024,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Mental Health Research Topics","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Computer science; Protocol (science); Computer file; Data science; Data file; File format; Database; Medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1701304,0.003557091,0.007031135,0.02148615,0.005066811,0.007283328,0.005546313,0.008911847,0.04005875],"category_scores_gemma":[0.1838901,0.003906386,0.008109268,0.01468873,0.00560138,0.006698633,0.007007855,0.006186461,0.01149296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175724,"about_ca_system_score_gemma":0.1019772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006031177,"about_ca_topic_score_gemma":0.01400839,"domain_scores_codex":[0.917377,0.03777789,0.0288613,0.004187219,0.00940429,0.002392354],"domain_scores_gemma":[0.8462464,0.07413131,0.01750933,0.0160446,0.0426234,0.003444939],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00299298,0.0005121714,0.001433109,0.7191458,0.001134219,0.001626219,0.01250635,0.001809539,0.00363471,0.02016228,0.06244067,0.1726019],"study_design_scores_gemma":[0.005387328,0.0009335213,0.005464406,0.591482,0.002668078,0.0007582161,0.007199406,0.001025766,0.00317796,0.02037551,0.3611118,0.0004159292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0007093801,0.002879383,0.005682382,0.001181345,0.0002930846,0.9823522,0.005390669,0.0001265727,0.001384902],"genre_scores_gemma":[0.0005901929,0.001579119,0.00706557,0.0002158708,0.00002257026,0.9895718,0.0005867663,0.00000967129,0.0003585115],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.8298696,"threshold_uncertainty_score":0.8997463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9028013114989688,"score_gpt":0.6110862337535539,"score_spread":0.2917150777454149,"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."}}