{"id":"W138546062","doi":"","title":"Toward More Cooperative Intelligent Distance Learning Environments","year":2008,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Session (web analytics); Negotiation; Quality (philosophy); Presentation (obstetrics); Intelligent tutoring system; Domain (mathematical analysis); Order (exchange); Artificial intelligence; Human–computer interaction; Multimedia; World Wide Web","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":[0.003920683,0.0004826353,0.000417993,0.0004685938,0.0008224589,0.002850381,0.002231904,0.002284897,0.002799398],"category_scores_gemma":[0.007472212,0.0004063654,0.0004433277,0.0003220328,0.000824646,0.005028357,0.00467483,0.001680913,0.001452686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055007,"about_ca_system_score_gemma":0.0006025973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003193232,"about_ca_topic_score_gemma":0.0003334723,"domain_scores_codex":[0.9978802,0.001068698,0.0001076226,0.0002993587,0.0005203725,0.0001237935],"domain_scores_gemma":[0.9967147,0.001192435,0.0003516873,0.000530255,0.0006374068,0.0005734966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003420951,0.001274033,0.007209201,0.0009100643,0.0001912674,0.0008764961,0.01441888,0.06556022,0.06834346,0.3482994,0.007142389,0.4854325],"study_design_scores_gemma":[0.0004033664,0.001156133,0.003668162,0.000274412,0.0001642864,0.0009864677,0.004928875,0.4125394,0.029707,0.3281326,0.2178623,0.0001769268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0461609,0.0004764225,0.9414505,0.001061811,0.00008086512,0.0001753856,0.00001253785,0.0006504432,0.009931045],"genre_scores_gemma":[0.3235242,0.0003673024,0.66859,0.0003823375,0.0001034164,0.0002472862,0.00008679815,0.00008503859,0.006613664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003920683,"threshold_uncertainty_score":0.02073485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04486757370789536,"score_gpt":0.2520802333482296,"score_spread":0.2072126596403343,"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."}}