{"id":"W2902387896","doi":"","title":"Foundations of Human-Agent Collaboration: Situation-Relevant Information Sharing.","year":2014,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Knowledge management; Information sharing; Human–computer interaction; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000902799,0.0001340166,0.0001446262,0.0002811223,0.0003408412,0.0003662359,0.0006301685,0.00007809948,0.0001565892],"category_scores_gemma":[0.0006695157,0.0001382294,0.000044479,0.0006063742,0.00006937671,0.00105241,0.00007792532,0.0001543074,0.0003830575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008769624,"about_ca_system_score_gemma":0.0003068146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003871373,"about_ca_topic_score_gemma":0.00005310112,"domain_scores_codex":[0.9981231,0.00007388766,0.0006161643,0.0002592565,0.0007585955,0.0001689914],"domain_scores_gemma":[0.9974108,0.0002891592,0.0003329556,0.0002870006,0.001610812,0.00006924543],"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":[0.000006892327,0.00004500158,0.00005438868,0.00001004575,0.000006496015,1.302623e-7,0.001027087,0.01350413,0.0008120341,0.9545717,0.0002311301,0.029731],"study_design_scores_gemma":[0.00003661569,0.0001702783,0.0004426983,0.00005797682,0.000003630822,8.906138e-7,0.0001272802,0.6214898,0.01056273,0.3658657,0.00107763,0.0001647319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004929472,0.000005310069,0.9702789,0.002928039,0.0003195998,0.0001889656,0.00001596351,0.0001030078,0.0212308],"genre_scores_gemma":[0.9892823,0.000003002853,0.0100186,0.0003919711,0.00007612631,0.00002692419,0.00009328456,0.000004064116,0.0001037289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9843528,"threshold_uncertainty_score":0.563683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101433054196735,"score_gpt":0.354698715458783,"score_spread":0.2445554100391095,"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."}}