{"id":"W4390953543","doi":"10.21203/rs.3.rs-3835295/v1","title":"The Effects of Emotion Regulation and Students’ Perceived Challenges on Emotion Synchrony in Collaborative learning","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Arousal; Valence (chemistry); Psychology; Cognitive reappraisal; Cognition; Cognitive psychology; Structural equation modeling; Collaborative learning; Two-factor theory of emotion; Negative emotion; Developmental psychology; Social psychology; Affective science; Emotion classification; Computer science; Mathematics education","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002267593,0.0002001832,0.0002642406,0.0005784424,0.0002822404,0.000161348,0.0002058696,0.0004228579,0.00009447557],"category_scores_gemma":[0.00117676,0.0001636956,0.00005438741,0.0005869697,0.000173332,0.00006672894,0.000357139,0.001600689,0.00008293444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004729609,"about_ca_system_score_gemma":0.00013059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007579193,"about_ca_topic_score_gemma":0.0001259968,"domain_scores_codex":[0.9949002,0.002823135,0.0004004398,0.0005965133,0.0009830504,0.0002967126],"domain_scores_gemma":[0.9972715,0.001427386,0.0001901067,0.0003862246,0.000664808,0.00005997749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001748104,0.002054838,0.1400397,0.01830487,0.001006579,0.00007801523,0.2666564,0.008659196,0.002766195,0.1297359,0.007135301,0.4218149],"study_design_scores_gemma":[0.0006409358,0.0006820288,0.9741538,0.002258079,0.00001506775,0.000001180272,0.01432368,0.002970425,0.00007408444,0.003903294,0.0008343525,0.0001430539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865751,0.004993427,0.0001116387,0.001953973,0.0009304965,0.001919543,0.000007440234,0.00007276644,0.003435654],"genre_scores_gemma":[0.9904932,0.006121189,0.00001233024,0.000006537482,0.0001838104,0.0002655058,0.00009031038,0.00003894736,0.002788129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8341141,"threshold_uncertainty_score":0.6954284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05775744783982643,"score_gpt":0.4249550675233549,"score_spread":0.3671976196835285,"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."}}