{"id":"W2037011093","doi":"10.1007/s10726-008-9154-6","title":"Perceptual Graph Model Systems","year":2009,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Perception; Computer science; Graph; Conflict resolution; Artificial intelligence; Management science; Theoretical computer science; Psychology; Engineering; Political science","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":[0.0004036106,0.0006281093,0.0004368625,0.0009494626,0.0006610189,0.002729802,0.001025345,0.001332566,0.02748798],"category_scores_gemma":[0.003680792,0.0003535127,0.000556851,0.0008654213,0.001013724,0.003260637,0.001385824,0.0009106563,0.003632069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099569,"about_ca_system_score_gemma":0.0007012593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005821726,"about_ca_topic_score_gemma":0.004042397,"domain_scores_codex":[0.9995121,0.0001499091,0.00001696252,0.000176347,0.0001027347,0.00004205613],"domain_scores_gemma":[0.9991025,0.000361761,0.00006638379,0.0002199139,0.0001695502,0.00007998788],"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":[0.00007946725,0.00005105439,0.0005047646,0.0001120328,0.00003200807,0.0001283221,0.0002720091,0.08047595,0.002369575,0.8722563,0.00870428,0.03501435],"study_design_scores_gemma":[0.00003342247,0.00003562896,0.0003180961,0.00002084682,0.00002079984,0.00006679539,0.0001323557,0.3672155,0.0009754705,0.6056417,0.02551585,0.00002363422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03716422,0.0004436063,0.8286278,0.001652699,0.0002648487,0.0002149233,0.001591838,0.001695592,0.1283444],"genre_scores_gemma":[0.7560565,0.0008575435,0.1701447,0.0005189612,0.0001162725,0.0003228895,0.002186909,0.000471633,0.06932453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02748798,"threshold_uncertainty_score":0.0919565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08354642610346615,"score_gpt":0.3660137352203822,"score_spread":0.2824673091169161,"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."}}