{"id":"W4390048362","doi":"10.2478/bsmr-2023-0007","title":"Embodied Figuration and Character Emotion in Cinema: The Role of Embodied Affective Cues","year":2023,"lang":"en","type":"article","venue":"Baltic screen media review./Baltic screen media review","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Embodied cognition; Movie theater; Literal and figurative language; Psychology; Feeling; Character (mathematics); Aesthetics; Affect (linguistics); Metaphor; Meaning (existential); Framing (construction); Metonymy; Cognitive psychology; Social psychology; Communication; Art; Linguistics; Visual arts; Computer science","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":[0.0013513,0.0001732941,0.0002393151,0.001054102,0.0003240294,0.003578685,0.0003254005,0.0008442554,0.003787062],"category_scores_gemma":[0.005240139,0.0000961367,0.0002148699,0.0007209899,0.002048807,0.001966611,0.0009456483,0.0008609737,0.0002154297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008162759,"about_ca_system_score_gemma":0.000403921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231254,"about_ca_topic_score_gemma":0.001580882,"domain_scores_codex":[0.9989271,0.0007875973,0.00003412155,0.00006704687,0.0001332222,0.00005080195],"domain_scores_gemma":[0.9968559,0.002234069,0.0004490163,0.00008326896,0.0002933008,0.00008440049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005493117,0.0001351929,0.007777287,0.01157602,0.0003211247,0.0009586482,0.02568107,0.0008688164,0.005486383,0.2755324,0.02142375,0.64969],"study_design_scores_gemma":[0.0001022014,0.0004438121,0.09617283,0.01473276,0.0003422129,0.002440241,0.02069741,0.0008994294,0.002753663,0.05017085,0.8111556,0.00008912708],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1307847,0.6910824,0.005678297,0.01663616,0.001566789,0.00005675235,0.0001463699,0.00003409276,0.1540144],"genre_scores_gemma":[0.8241499,0.1664159,0.001403863,0.001703888,0.001064733,0.00003614515,0.00006001463,0.00001518288,0.005150425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003787062,"threshold_uncertainty_score":0.01266903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679766711169493,"score_gpt":0.2671063892414697,"score_spread":0.2303087221297747,"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."}}