{"id":"W4404378394","doi":"10.1163/2208522x-02010211","title":"Actors, Audiences, and Emotions in the Eighteenth Century: Communities of Sentiment, written by McGillivray, Glen","year":2024,"lang":"en","type":"article","venue":"Emotions History Culture Society","topic":"History of Emotions Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"History; Sentiment analysis; Aesthetics; Media studies; Psychology; Art; Sociology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004737232,0.0002059824,0.0002147409,0.0001261276,0.001068674,0.0001167292,0.0004038296,0.0001001997,0.00197037],"category_scores_gemma":[0.00001528248,0.0001509595,0.0002424611,0.0001668575,0.001678789,0.0004241084,0.00006115613,0.0006233494,0.00005450226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006131209,"about_ca_system_score_gemma":0.0000968945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005121541,"about_ca_topic_score_gemma":0.001287745,"domain_scores_codex":[0.9984972,0.0002836623,0.0002861472,0.0002415863,0.0004021723,0.0002892213],"domain_scores_gemma":[0.9992701,0.0001092762,0.00006883801,0.0003568533,0.0001300427,0.00006489945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001047262,0.0001707956,0.00004306198,0.0001064748,0.00006091224,0.000001076049,0.2470016,0.000001367288,0.0002305361,0.05222422,0.6999831,0.0001758274],"study_design_scores_gemma":[0.0001321166,0.00005835692,0.0003988907,0.000114616,0.00004424263,0.000005367508,0.0641038,0.0001098959,0.000002522095,0.0001144367,0.9347631,0.0001526663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1851964,0.1197669,0.0003139907,0.01450291,0.006313458,0.002459713,0.003148383,0.0008108342,0.6674874],"genre_scores_gemma":[0.9235967,0.00576958,0.0003026806,0.0003774093,0.0003167136,0.00005191351,0.0004004724,0.0000376012,0.06914688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7384003,"threshold_uncertainty_score":0.998942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04273910829251722,"score_gpt":0.26006407593624,"score_spread":0.2173249676437228,"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."}}