{"id":"W1547450116","doi":"10.17705/1jais.00048","title":"Knowledge-based Support in a Group Decision Making Context: An Expert-Novice Comparison","year":2004,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Persuasion; Knowledge management; Decision support system; Computer science; Context (archaeology); Cognition; Expert system; Domain knowledge; Group decision-making; Psychology; Social psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002839129,0.0003938655,0.0006728846,0.002093825,0.0008198301,0.002684993,0.0005417402,0.001196325,0.004285743],"category_scores_gemma":[0.01746286,0.0001750469,0.00045141,0.000392612,0.0007855731,0.001766455,0.001946941,0.001159701,0.0007994412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004246742,"about_ca_system_score_gemma":0.0004412731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006244081,"about_ca_topic_score_gemma":0.0009891212,"domain_scores_codex":[0.9979351,0.0007018895,0.0002489788,0.0002303947,0.0004898689,0.000393793],"domain_scores_gemma":[0.9829955,0.007209977,0.001319581,0.001042223,0.002422438,0.005010327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01641408,0.03009468,0.6355819,0.000927908,0.000592726,0.003954774,0.0667349,0.003225429,0.02389654,0.005226879,0.0039315,0.2094187],"study_design_scores_gemma":[0.0016638,0.0326276,0.8423762,0.0003395652,0.0002245304,0.004313093,0.07593062,0.008123189,0.01094714,0.009820607,0.01335534,0.0002783071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998329,0.0001178578,0.0001663317,0.00004804147,0.00001718713,0.00001913593,0.00001951581,0.000004778315,0.001278211],"genre_scores_gemma":[0.9988909,0.00006800556,0.0002649554,0.00007343014,0.00001636543,0.00002629828,0.00005463389,0.000003276302,0.0006021182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004285743,"threshold_uncertainty_score":0.01501495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752123425402684,"score_gpt":0.3566620378568898,"score_spread":0.3291408036028629,"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."}}