{"id":"W2221784854","doi":"","title":"Special Track on Ontologies and Social Semantic Web for Intelligent Educational Systems","year":2011,"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":"Université du Québec à Montréal","funders":"","keywords":"Social Semantic Web; Semantic Web; Computer science; World Wide Web; Semantic Web Stack; Semantic analytics; Track (disk drive); Social web; Semantic technology; Web standards; Knowledge management; Web service; Social media","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":[0.002034932,0.0001439448,0.0002024617,0.000053507,0.0008942861,0.0002891828,0.001166204,0.0001106006,0.00002669099],"category_scores_gemma":[0.0001918067,0.00009402425,0.0001412121,0.0002305937,0.0005491204,0.0002093488,0.0003362505,0.0003951984,0.00006177025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043502,"about_ca_system_score_gemma":0.0003052458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000146433,"about_ca_topic_score_gemma":0.00004705077,"domain_scores_codex":[0.9980142,0.0002126959,0.0002151962,0.0003969844,0.0005854578,0.0005754851],"domain_scores_gemma":[0.9980112,0.001176108,0.00005284385,0.0004002723,0.0002992592,0.00006029785],"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":[0.00007074764,0.0001492408,0.0006292269,0.0001384297,0.0001067731,0.000002742549,0.03062249,0.000005989798,0.00009895403,0.5877293,0.3709072,0.009538988],"study_design_scores_gemma":[0.003496879,0.003048324,0.104264,0.0002888188,0.0001102208,0.0001382034,0.07875507,0.09786786,0.005333731,0.3310638,0.3735928,0.00204021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7339861,0.002763203,0.05886744,0.1369502,0.02119023,0.006715192,0.00009391023,0.0008798416,0.03855383],"genre_scores_gemma":[0.9890667,0.0002219394,0.002400657,0.0004565847,0.005959318,0.0002527313,0.000004651728,0.00001474685,0.001622667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2566655,"threshold_uncertainty_score":0.6878216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939695971740788,"score_gpt":0.377888966000931,"score_spread":0.1839193688268522,"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."}}