{"id":"W1990312374","doi":"10.1016/j.jvlc.2007.01.001","title":"Transfer of problem-solving strategy using Covlan","year":2007,"lang":"en","type":"article","venue":"Journal of Visual Languages & Computing","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Transfer (computing); Parallel computing","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":[0.001705761,0.0007755141,0.0007814443,0.000566096,0.0003215944,0.001288017,0.001587609,0.0008130857,0.01876706],"category_scores_gemma":[0.01393105,0.0003787614,0.0003823338,0.0003723525,0.0004876128,0.001929774,0.001819711,0.002000617,0.002700512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005011334,"about_ca_system_score_gemma":0.0008999153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177619,"about_ca_topic_score_gemma":0.001142144,"domain_scores_codex":[0.9988111,0.0002833279,0.00008800751,0.0004416612,0.0002442618,0.0001317107],"domain_scores_gemma":[0.9946666,0.002931774,0.000203597,0.001468023,0.0004823837,0.0002477303],"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":[0.005534896,0.008119027,0.008193326,0.0005721854,0.0001753824,0.0002880224,0.002918758,0.01433524,0.229691,0.01082879,0.01004143,0.7093019],"study_design_scores_gemma":[0.002170763,0.005832397,0.04400821,0.0002288035,0.0003087515,0.0009407467,0.00155653,0.5084497,0.3709825,0.03750367,0.02770753,0.0003104119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8202394,0.0001005903,0.1448828,0.0003313764,0.0003774854,0.0007693257,0.001131241,0.007388193,0.02477956],"genre_scores_gemma":[0.9233628,0.0001014723,0.05575766,0.0001847896,0.00004278902,0.0009972706,0.001837115,0.001480222,0.01623583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01876706,"threshold_uncertainty_score":0.06278205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770689546549858,"score_gpt":0.4137995809615365,"score_spread":0.3760926854960379,"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."}}