{"id":"W6961137638","doi":"10.1371/journal.pone.0275915.t002","title":"Emotional target recognition accuracy (<i>Hu</i> scores) for Canadian and Chinese participants when listening to vocal emotion expressions in Mandarin, English and Hindi.","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Active listening; Emotion recognition; Emotional expression; Emotion classification; Affect (linguistics)","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":[0.0009825015,0.002097514,0.0014002,0.001296364,0.001333708,0.001579571,0.003121292,0.00223553,0.05777685],"category_scores_gemma":[0.007985728,0.0004174146,0.001730523,0.002427593,0.0003920642,0.0007957947,0.001092714,0.001146472,0.04377856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002662261,"about_ca_system_score_gemma":0.00363127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3861514,"about_ca_topic_score_gemma":0.5929679,"domain_scores_codex":[0.9993117,0.00008058445,0.00006499481,0.0002268548,0.0001778071,0.0001379769],"domain_scores_gemma":[0.9961107,0.001080133,0.0002135256,0.0005489722,0.001741299,0.0003053938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002997358,0.00004903282,0.006803396,0.0007460064,0.0001144518,0.00003080035,0.00003820581,0.0002963059,0.0001784653,0.0001621383,0.9852768,0.006004672],"study_design_scores_gemma":[0.001354534,0.000121065,0.182215,0.001047391,0.000800074,0.0002790093,0.000520553,0.002283431,0.001697145,0.00170178,0.8077449,0.0002350769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007808342,0.00009750116,0.00005240616,0.0000610355,0.00002840859,0.00001467453,0.9980536,0.00009636579,0.0008152589],"genre_scores_gemma":[0.002193666,0.00005194777,0.0002220247,0.00005038053,0.000009757085,0.0001126728,0.99567,0.00003195758,0.001657494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6138486,"threshold_uncertainty_score":0.7678075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788098420455532,"score_gpt":0.2448153462420292,"score_spread":0.2069343620374739,"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."}}