{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001653487,0.001298154,0.0006355134,0.00120105,0.0003132456,0.0007475958,0.0006661993,0.0008966304,0.002533147],"category_scores_gemma":[0.007031697,0.0001851466,0.000507474,0.0006136096,0.0001903398,0.001037243,0.000836409,0.001032576,0.002595105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005021036,"about_ca_system_score_gemma":0.0004917769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007549938,"about_ca_topic_score_gemma":0.009114218,"domain_scores_codex":[0.9990731,0.0003472515,0.00003021928,0.0002869664,0.0001192932,0.000143071],"domain_scores_gemma":[0.9962925,0.001774742,0.0004207504,0.0003940225,0.0006409339,0.0004769432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002906441,0.001169941,0.279754,0.0002901457,0.0004774519,0.0003991453,0.001009508,0.3031998,0.009727929,0.001589927,0.02561449,0.3738613],"study_design_scores_gemma":[0.00003939868,0.000318926,0.05831131,0.00002174466,0.00005317262,0.00003764126,0.0002557036,0.9342924,0.002058004,0.002881324,0.001695762,0.00003459899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304417,0.0008638127,0.0548354,0.0007508773,0.000141305,0.0001244904,0.004329514,0.001313818,0.007199113],"genre_scores_gemma":[0.9889854,0.00008194402,0.00651907,0.00003958188,0.00005431081,0.00008084913,0.002545391,0.00004598292,0.001647367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007549938,"threshold_uncertainty_score":0.01501197,"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."}}