{"id":"W60509817","doi":"","title":"Verbalization Enhanced Tutoring.","year":2006,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Meaning (existential); Domain (mathematical analysis); Human–computer interaction; Intelligent tutoring system; Representation (politics); Natural language; Expression (computer science); Natural (archaeology); Knowledge representation and reasoning; Multimedia; Natural language processing; Artificial intelligence; Programming language; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578946,0.00008937471,0.00009872181,0.00002836609,0.0005708164,0.0003075475,0.001277469,0.00006518487,0.00001633647],"category_scores_gemma":[0.0000984365,0.00005904284,0.00009158426,0.0007372625,0.0002114748,0.0003387328,0.0004411,0.0003217057,0.0001363777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009760133,"about_ca_system_score_gemma":0.0001210064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004605456,"about_ca_topic_score_gemma":0.00002333766,"domain_scores_codex":[0.9981238,0.0001632281,0.0001431528,0.0002848003,0.0007784435,0.0005065682],"domain_scores_gemma":[0.9986322,0.0003361499,0.00002785567,0.0006868659,0.000277692,0.00003926954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001344648,0.00009663442,0.001001051,0.00005061755,0.0000478617,0.00001045896,0.005899017,0.000791351,0.02284403,0.4999744,0.4562887,0.01298244],"study_design_scores_gemma":[0.001667873,0.0003172701,0.05235403,0.00008667135,0.00001673177,0.00002200935,0.001862952,0.1760754,0.2269976,0.2315569,0.308162,0.0008806786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1412935,0.000917548,0.8165114,0.01604098,0.001657226,0.0005638305,0.000002488517,0.0007019647,0.02231109],"genre_scores_gemma":[0.9922861,0.0000928788,0.003370401,0.0003202406,0.0007183972,0.00004107541,0.000003572047,0.000008375442,0.003158975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8509926,"threshold_uncertainty_score":0.4390316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04165342641943765,"score_gpt":0.3442484926512916,"score_spread":0.3025950662318539,"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."}}