{"id":"W4402134537","doi":"10.3390/data9090104","title":"Interruption Audio & Transcript: Derived from Group Affect and Performance Dataset","year":2024,"lang":"en","type":"article","venue":"Data","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Modalities; Set (abstract data type); Modal; Affect (linguistics); Artificial intelligence; Speech recognition; Machine learning; Data mining; Psychology; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007811085,0.0006730907,0.0005019464,0.001851417,0.0006583632,0.0006987732,0.0006906695,0.0009740035,0.004108903],"category_scores_gemma":[0.004135378,0.0001434916,0.0003830856,0.001599814,0.0003220574,0.0005261071,0.00104334,0.0008865606,0.005181627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000612355,"about_ca_system_score_gemma":0.0006210071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007991517,"about_ca_topic_score_gemma":0.01783293,"domain_scores_codex":[0.9988447,0.000246282,0.0001251824,0.0002568132,0.0003816121,0.0001454173],"domain_scores_gemma":[0.9972624,0.0008407402,0.0003057818,0.0004455842,0.0008852328,0.000260388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002610635,0.00177746,0.1306082,0.003707885,0.0003146108,0.002056167,0.007994124,0.005686844,0.03024519,0.002018587,0.5349844,0.2779958],"study_design_scores_gemma":[0.0002038672,0.0007356368,0.6190972,0.0003632021,0.0001561606,0.00141833,0.007775337,0.02026666,0.01278836,0.00146317,0.3355129,0.0002191271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3749801,0.0009280838,0.01252,0.0006422953,0.000338403,0.0008598029,0.5901408,0.00446613,0.01512438],"genre_scores_gemma":[0.2508164,0.0003048948,0.01609064,0.0001614124,0.0001415067,0.001553557,0.7241207,0.0001779145,0.006633042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007991517,"threshold_uncertainty_score":0.01589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5195471768816884,"score_gpt":0.4779622355328907,"score_spread":0.0415849413487977,"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."}}