{"id":"W6992777276","doi":"","title":"Mitigating misunderstanding in nonverbal communication in Canada","year":2023,"lang":"uk","type":"dissertation","venue":"Electronic archive of KNUTD (Kyiv National University of Technologies and Design)","topic":"Communication in Education and Healthcare","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonverbal communication; Risk communication; Interpersonal communication; Focus (optics); Perception","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":[0.004731878,0.000279655,0.0003881586,0.001712751,0.007482245,0.005565331,0.00137807,0.001293882,0.004119839],"category_scores_gemma":[0.05793025,0.0003095436,0.000228851,0.002310858,0.002232317,0.001784319,0.003467129,0.001978343,0.0006097985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03159381,"about_ca_system_score_gemma":0.07554851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9449829,"about_ca_topic_score_gemma":0.9418388,"domain_scores_codex":[0.993399,0.001676769,0.0003216759,0.0004811899,0.00313091,0.0009905471],"domain_scores_gemma":[0.9624418,0.01446865,0.003858553,0.001145325,0.01536163,0.00272409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007473635,0.0003600401,0.2432267,0.0005856967,0.0000884905,0.001695727,0.4157118,0.001034492,0.002622787,0.005510096,0.02137711,0.3070397],"study_design_scores_gemma":[0.00005784809,0.0003104882,0.3653533,0.001212124,0.0001777393,0.0005824126,0.5302743,0.005478437,0.003952589,0.002592729,0.08980556,0.000202468],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953366,0.001455128,0.0009660072,0.008608188,0.0001293448,0.0001074071,0.0002557312,0.00005444764,0.03505777],"genre_scores_gemma":[0.9891655,0.001209499,0.0007349903,0.0005347775,0.00002041655,0.00002715479,0.0001243563,0.00002487524,0.008158429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05501705,"threshold_uncertainty_score":0.2292302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036952603987397,"score_gpt":0.2982415042445285,"score_spread":0.2612889002571315,"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."}}