{"id":"W2336832037","doi":"10.1145/2872518.2891079","title":"STI-DICO","year":2016,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Computer science; Interface (matter); Learning Management; Component (thermodynamics); Process (computing); Multimedia; Web application; User interface; Human–computer interaction; Population; Blended learning; World Wide Web; Educational technology; Mathematics education; Operating system","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":[0.001506936,0.0008521833,0.0005730101,0.001645101,0.001181189,0.003249014,0.001181791,0.001286184,0.1294096],"category_scores_gemma":[0.00347218,0.0003335642,0.0004762235,0.001015336,0.0004811812,0.002014724,0.00258309,0.001558635,0.06552307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370732,"about_ca_system_score_gemma":0.002392219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004498051,"about_ca_topic_score_gemma":0.005598824,"domain_scores_codex":[0.9987438,0.0001662425,0.00005202333,0.0002582017,0.0005665533,0.0002131267],"domain_scores_gemma":[0.9979473,0.0002346273,0.00007056261,0.0004002196,0.0007972753,0.0005500668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001046198,0.0003548986,0.004096685,0.0005592126,0.00003778216,0.0006429509,0.0006187761,0.001852949,0.01272192,0.04122989,0.544999,0.3918398],"study_design_scores_gemma":[0.00007034926,0.0000917355,0.0007812721,0.00004605792,0.000009022309,0.000260285,0.00005115895,0.001884167,0.002239155,0.001285495,0.9932653,0.00001601481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01658767,0.002130137,0.04605584,0.002706736,0.002708345,0.0008922844,0.01136765,0.03608746,0.881464],"genre_scores_gemma":[0.1280437,0.002264063,0.1004971,0.002848128,0.001084859,0.0008439127,0.05178734,0.01186865,0.7007622],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1294096,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413310290946478,"score_gpt":0.2151356737589875,"score_spread":0.2010025708495227,"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."}}