{"id":"W1581227197","doi":"","title":"Cooperating agents in a virtual laboratory for supporting learning in engineering and science","year":2000,"lang":"en","type":"article","venue":"World Conference on WWW and Internet","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Virtual Laboratory; Human–computer interaction; Data science; Knowledge management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002624193,0.0004635217,0.000595669,0.0005644212,0.00344241,0.003804583,0.002574178,0.001773292,0.008669968],"category_scores_gemma":[0.004398703,0.0005407165,0.0004289506,0.0004015737,0.002096202,0.002971668,0.004248113,0.001513636,0.001228623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005514289,"about_ca_system_score_gemma":0.00156118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008987259,"about_ca_topic_score_gemma":0.001193682,"domain_scores_codex":[0.9977486,0.001438893,0.00007771309,0.0002807771,0.00022387,0.0002302455],"domain_scores_gemma":[0.9953531,0.00164804,0.0003349604,0.0006845486,0.0002286188,0.00175072],"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":[0.01911799,0.02855591,0.04052796,0.0006157353,0.0005764153,0.007248307,0.02172306,0.2142109,0.2253383,0.1653971,0.01452945,0.262159],"study_design_scores_gemma":[0.00369967,0.007776666,0.007335056,0.0001448552,0.0005001461,0.001443161,0.009204947,0.7562068,0.04949069,0.09511755,0.06871165,0.0003687974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805025,0.0001119128,0.09877136,0.0005982136,0.0001746478,0.0002903928,0.0000474434,0.0006441497,0.01885944],"genre_scores_gemma":[0.952635,0.00004217949,0.0409931,0.00011152,0.00003070956,0.0002372177,0.00005352738,0.00004909106,0.00584754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008669968,"threshold_uncertainty_score":0.02900392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424784639772362,"score_gpt":0.2752829089709267,"score_spread":0.2410350625732031,"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."}}