{"id":"W2167426972","doi":"10.1109/icsmc.1991.169960","title":"A multi-agent system supporting cooperative work done by persons and machines","year":2002,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Conversation; Action (physics); Perspective (graphical); Computer science; Space (punctuation); Human–computer interaction; Group (periodic table); Speech act; Work (physics); Cognitive science; Artificial intelligence; Psychology; Linguistics; Communication; Engineering","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":[0.001111051,0.0006763545,0.0007936746,0.0005918996,0.002308992,0.003743327,0.002451719,0.002302857,0.006908051],"category_scores_gemma":[0.002004723,0.000550338,0.0006745054,0.0007361528,0.001267962,0.00437011,0.00332705,0.001712825,0.001907115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008234273,"about_ca_system_score_gemma":0.001508582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935895,"about_ca_topic_score_gemma":0.002814728,"domain_scores_codex":[0.9992105,0.0002906888,0.00008395246,0.0001528314,0.000198175,0.00006374705],"domain_scores_gemma":[0.9990194,0.000420186,0.0000970592,0.0001430124,0.0001108299,0.0002094444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008671304,0.0005823373,0.00351392,0.000709786,0.000225532,0.003079063,0.004504569,0.2037883,0.02635881,0.5569414,0.01611183,0.1833173],"study_design_scores_gemma":[0.0002331851,0.0003181371,0.0005535024,0.0001370349,0.0001560378,0.0008159759,0.0004579351,0.7252262,0.007103448,0.1209249,0.143972,0.0001016842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02453947,0.0006918858,0.9515923,0.0007794405,0.0001815464,0.0003187998,0.0001723791,0.00339643,0.01832775],"genre_scores_gemma":[0.3842577,0.0007828743,0.5911301,0.0003443159,0.0001493667,0.0009365745,0.000506212,0.0001906163,0.0217023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006908051,"threshold_uncertainty_score":0.02310973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963380668567178,"score_gpt":0.2486498317498915,"score_spread":0.2190160250642197,"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."}}