{"id":"W3113814228","doi":"10.1145/3395035.3425964","title":"Group Performance Prediction with Limited Context","year":2020,"lang":"en","type":"article","venue":"Companion Publication of the 2020 International Conference on Multimodal Interaction","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Conversation; Computer science; Task (project management); Artificial intelligence; Natural language processing; Context (archaeology); Graph; Machine learning; Predictive modelling; Speech recognition; Linguistics; Theoretical computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001531225,0.000154764,0.0001636119,0.0001260461,0.0001221438,0.0002989386,0.001121009,0.00004995913,0.0003790012],"category_scores_gemma":[0.0001088319,0.0001119971,0.0001033796,0.0005005069,0.00005032386,0.00143227,0.0001773193,0.0002442062,0.00008374268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008179539,"about_ca_system_score_gemma":0.00004642009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002092897,"about_ca_topic_score_gemma":0.000003948784,"domain_scores_codex":[0.9983633,0.00009830094,0.000431984,0.0003989443,0.0005866858,0.0001208135],"domain_scores_gemma":[0.9981489,0.00006177633,0.0005418736,0.0003628375,0.0007997571,0.00008490483],"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":[0.001231623,0.001268056,0.05925802,0.00008159983,0.0008427319,0.000001704109,0.004508452,0.009956028,0.05364046,0.6412923,0.03016362,0.1977554],"study_design_scores_gemma":[0.0005834505,0.0002138226,0.02659842,0.00008773371,0.00001188228,0.000005260203,0.0002276691,0.9567636,0.008190488,0.00006091412,0.007134138,0.0001226333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4748601,0.00002202274,0.3431566,0.1542383,0.003443182,0.0009374038,0.00005280066,0.0004665106,0.02282311],"genre_scores_gemma":[0.9965708,0.00001970445,0.001634834,0.001299483,0.0001511987,0.00002704869,0.0001033075,0.000008344484,0.0001852427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9468076,"threshold_uncertainty_score":0.4567111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06001396133382283,"score_gpt":0.2811997498870267,"score_spread":0.2211857885532038,"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."}}