{"id":"W2980724834","doi":"10.1016/j.compedu.2019.103731","title":"Exploring student information problem solving behaviour using fine-grained concept map and search tool data","year":2019,"lang":"en","type":"article","venue":"Computers & Education","topic":"Educational Strategies and Epistemologies","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Task (project management); Computer science; Cluster analysis; TRACE (psycholinguistics); Concept map; Data science; Artificial intelligence","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":[0.001307391,0.0002769299,0.0003546679,0.00216862,0.0003219923,0.001776474,0.0005021124,0.0005928456,0.00260339],"category_scores_gemma":[0.01984534,0.0001770444,0.0002839665,0.002234084,0.0002539735,0.00181479,0.0009030147,0.0007126796,0.0004796359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664295,"about_ca_system_score_gemma":0.0008014254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004026783,"about_ca_topic_score_gemma":0.004849299,"domain_scores_codex":[0.9990919,0.0003788264,0.0000959083,0.000151689,0.0002205255,0.00006114551],"domain_scores_gemma":[0.9796324,0.01734083,0.0008521105,0.000720705,0.001089993,0.0003638346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002044439,0.005035793,0.5085028,0.001377613,0.0002950848,0.0004494282,0.06762245,0.01612983,0.02093845,0.005288813,0.003519677,0.3687956],"study_design_scores_gemma":[0.0002864946,0.00435971,0.5422921,0.0003207847,0.0003904361,0.0008006676,0.0614726,0.3156545,0.03739194,0.01647977,0.02022329,0.0003275936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915869,0.00002838593,0.006305639,0.00005406517,0.000003308051,0.00008529746,0.0004499111,0.0001422429,0.001344307],"genre_scores_gemma":[0.9844522,0.00003479094,0.01398332,0.00001279126,0.000001571446,0.00009556526,0.0005434792,0.00001586434,0.0008605028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004026783,"threshold_uncertainty_score":0.008709192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1810987777128572,"score_gpt":0.3858767373094124,"score_spread":0.2047779595965552,"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."}}