{"id":"W4414068195","doi":"10.1177/10597123251374920","title":"Modeling Teacher Nonverbal Immediacy: Refinement and Analysis","year":2025,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Communication in Education and Healthcare","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Deutsche Forschungsgemeinschaft","keywords":"Nonverbal communication; Gesture; Facial expression; Proxemics; Feature (linguistics); Immediacy; Multilayer perceptron; Set (abstract data type); Preprocessor","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":[0.002225331,0.0009355864,0.0005617844,0.0007167957,0.0002056457,0.0009303476,0.001281494,0.00068533,0.001631914],"category_scores_gemma":[0.01003008,0.0004690487,0.0009064582,0.0004339894,0.0004332383,0.001051086,0.0007853497,0.001863123,0.0005797382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008567411,"about_ca_system_score_gemma":0.000879103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402135,"about_ca_topic_score_gemma":0.01209955,"domain_scores_codex":[0.9991478,0.0002605869,0.00004176467,0.0003104088,0.0001593718,0.00008005317],"domain_scores_gemma":[0.9971943,0.001830905,0.0001846117,0.0002825716,0.0004504973,0.00005704263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002691792,0.0002587466,0.03113402,0.0002289576,0.0001785652,0.0001839488,0.000464192,0.8428136,0.00893307,0.003116372,0.001583748,0.1108357],"study_design_scores_gemma":[0.000005070107,0.00003524535,0.003485829,0.00001146992,0.00001337881,0.00001789759,0.00002231924,0.9942769,0.0006851634,0.001124426,0.0003134698,0.000008822049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2424602,0.0002637792,0.7529856,0.0003627345,0.00004876927,0.0001513414,0.0009521293,0.001333261,0.001442175],"genre_scores_gemma":[0.9011231,0.0001388038,0.09592921,0.00005793702,0.00002816686,0.0002366464,0.001129224,0.0001046901,0.0012522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01402135,"threshold_uncertainty_score":0.02787948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354769925628975,"score_gpt":0.4276928373889891,"score_spread":0.3541451381326993,"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."}}