{"id":"W4236992395","doi":"10.21203/rs.2.10051/v1","title":"Social and Physiological Context Affects the Meaning of Physiological Synchrony","year":2019,"lang":"en","type":"preprint","venue":"Research Square","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Task (project management); Meaning (existential); Context (archaeology); Protocol (science); Psychology; Key (lock); Social relation; Measure (data warehouse); Cognitive psychology; Social psychology; Computer science; Engineering; Medicine; Data mining; Psychotherapist; Computer security","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":[0.00082876,0.0002445859,0.000227794,0.0003644914,0.0003003737,0.002195409,0.0002438468,0.0005650513,0.005444571],"category_scores_gemma":[0.0141071,0.0003134538,0.0002288082,0.000262553,0.0007672811,0.001228014,0.0009729606,0.0007115629,0.0002443945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224905,"about_ca_system_score_gemma":0.0002741307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004528538,"about_ca_topic_score_gemma":0.000506847,"domain_scores_codex":[0.9993818,0.0002153489,0.00003464964,0.0001968568,0.0001204673,0.00005086071],"domain_scores_gemma":[0.9936474,0.004570988,0.0008895583,0.0004132256,0.000223237,0.0002555083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006470629,0.0007126097,0.1314165,0.0009902475,0.0005791805,0.001304707,0.01884912,0.00781227,0.5817653,0.1032346,0.002124042,0.1447407],"study_design_scores_gemma":[0.000218177,0.0005769072,0.8647748,0.0001731321,0.0003602248,0.0005014248,0.003347103,0.01600587,0.02298751,0.08756974,0.003355573,0.0001295573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518862,0.0004806137,0.0161059,0.00052136,0.0001458124,0.00003105519,0.0002327632,0.00009000422,0.03050621],"genre_scores_gemma":[0.997361,0.00008050611,0.00192719,0.00003305509,0.0000257169,0.00001041269,0.00003453427,0.00004108201,0.000486537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005444571,"threshold_uncertainty_score":0.01821387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2686755082066846,"score_gpt":0.4685040575718413,"score_spread":0.1998285493651566,"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."}}