{"id":"W1699157597","doi":"","title":"The Veltic Hypermedia System: A Solution for Sharing Best Practices Online","year":2008,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; University of Ottawa; National Research Council Canada","funders":"","keywords":"Computer science; Hypermedia; World Wide Web; Multimedia","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001138515,0.0002002321,0.0002556008,0.0001398142,0.00203831,0.0001645783,0.0004898004,0.0001862403,0.00006576018],"category_scores_gemma":[0.0007126638,0.0001851734,0.00004157106,0.0005102422,0.0004184077,0.0002684974,0.00008917851,0.0007541345,0.00003971541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007630204,"about_ca_system_score_gemma":0.001103015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006368026,"about_ca_topic_score_gemma":0.02231881,"domain_scores_codex":[0.9975207,0.0005028199,0.0004717443,0.0004762525,0.0005425753,0.0004859056],"domain_scores_gemma":[0.9970262,0.0007504938,0.001361208,0.0004085774,0.0002660936,0.0001874321],"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":[0.0002042732,0.0005486463,0.117702,0.0001756329,0.00002659653,0.000002597491,0.004986189,0.000006995253,0.0001100889,0.7750125,0.001317164,0.09990729],"study_design_scores_gemma":[0.001215041,0.0004926642,0.1745329,0.0007545429,0.00004416037,0.0000111364,0.0324413,0.004766169,0.00001908284,0.00488947,0.7802131,0.0006203888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5448533,0.004556083,0.000166413,0.2828293,0.00577108,0.004133569,0.00004207838,0.0007855322,0.1568626],"genre_scores_gemma":[0.9474651,0.004375032,0.0008484296,0.0004029044,0.0003377205,0.0003341757,0.00004637275,0.0000247432,0.04616555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7788959,"threshold_uncertainty_score":0.9992609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2283443829551961,"score_gpt":0.3868973549112765,"score_spread":0.1585529719560804,"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."}}