{"id":"W4404358436","doi":"10.1111/jcal.13089","title":"Uncovering adults' problem‐solving patterns from process data with hidden Markov model and network analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Computer Assisted Learning","topic":"Mental Health Research Topics","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Process (computing); Markov chain; Markov model; Markov process; Mathematics education; Artificial intelligence; Psychology; Machine learning; Statistics; Mathematics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.002994316,0.0004890859,0.0003365164,0.002420268,0.0002937367,0.0009471804,0.0004542425,0.0006142035,0.001432631],"category_scores_gemma":[0.0159556,0.0002876532,0.0006837678,0.001517808,0.0004969716,0.001611589,0.000849297,0.0008811372,0.000188127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000896346,"about_ca_system_score_gemma":0.0006223785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007423761,"about_ca_topic_score_gemma":0.009142197,"domain_scores_codex":[0.9987653,0.0007551304,0.00006793769,0.0002257304,0.0001167219,0.00006912717],"domain_scores_gemma":[0.9842098,0.01318424,0.001353716,0.0005883274,0.0004856412,0.0001783357],"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":[0.0006793135,0.0006410283,0.5306531,0.0005897196,0.0004862295,0.0005709558,0.01026362,0.2452941,0.006563603,0.03124967,0.001625324,0.1713834],"study_design_scores_gemma":[0.00001037637,0.00006367871,0.04157987,0.00004492007,0.00003007204,0.00004914904,0.0007732947,0.9387083,0.000694448,0.01761007,0.0004144198,0.00002127604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7590746,0.000121732,0.2384431,0.0003118838,0.000009124296,0.0001448323,0.0007371125,0.000218606,0.0009390225],"genre_scores_gemma":[0.9537808,0.00007273958,0.04526018,0.0000149524,0.000004894305,0.0001006295,0.0005351214,0.00001289251,0.0002176889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007423761,"threshold_uncertainty_score":0.01583564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947136451495414,"score_gpt":0.365032134295752,"score_spread":0.3255607697807979,"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."}}