{"id":"W2485391071","doi":"10.1142/9789812837066_0006","title":"Tracking Students' Thinking in Solving Complex Process","year":2010,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Tracking (education); Process (computing); Computer science; Mathematics education; Psychology; Pedagogy; 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":[0.0006832395,0.0004945004,0.0002369269,0.00071911,0.0002459759,0.001176897,0.0005077755,0.0004162955,0.01108138],"category_scores_gemma":[0.006001473,0.0001796263,0.000151621,0.0005348575,0.0001769701,0.0008396323,0.0005558687,0.0007579683,0.002627238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004293022,"about_ca_system_score_gemma":0.0004241392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308512,"about_ca_topic_score_gemma":0.002075278,"domain_scores_codex":[0.9995414,0.00011515,0.00001954969,0.0001500161,0.0001379929,0.00003587811],"domain_scores_gemma":[0.9966866,0.002016791,0.0002757217,0.000262221,0.0005370814,0.0002215666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006098779,0.001285723,0.07923866,0.0002761699,0.00003108435,0.0001067977,0.006079347,0.007935071,0.0307382,0.003888862,0.009283132,0.860527],"study_design_scores_gemma":[0.000276583,0.00445188,0.4171937,0.0004244883,0.0001872354,0.0005770244,0.005445166,0.2747961,0.1909464,0.02546958,0.07998107,0.0002506541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715099,0.0001592213,0.09832367,0.0002134911,0.0000502006,0.0002917039,0.0007858701,0.003161748,0.02550433],"genre_scores_gemma":[0.9264578,0.0001508093,0.05499535,0.00006992881,0.000008763702,0.0001860658,0.001029907,0.0002122732,0.01688924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01108138,"threshold_uncertainty_score":0.03707099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04714775152061187,"score_gpt":0.2924522000271116,"score_spread":0.2453044485064997,"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."}}