{"id":"W4281654248","doi":"10.21203/rs.3.rs-1638368/v1","title":"Continuous measures of audience immersion: validating behavioural and physiological measures against self-report","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Immersion (mathematics); Skin conductance; Narrative; Psychology; Heart rate; Task (project management); CLIPS; Social psychology; Computer science; Art; Medicine; Literature; Mathematics; Blood pressure; Artificial intelligence; Internal medicine; Engineering","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":[0.003995904,0.0002799865,0.0006642948,0.0002945655,0.00115084,0.0002035342,0.0005540008,0.0001701537,0.001172636],"category_scores_gemma":[0.0006799755,0.0002260268,0.0001804286,0.00009078031,0.0008218989,0.0001220709,0.001432321,0.001966637,0.0000142246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715964,"about_ca_system_score_gemma":0.0006230329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002755139,"about_ca_topic_score_gemma":0.0002177573,"domain_scores_codex":[0.9950106,0.0008340552,0.0006930396,0.0007157922,0.002022445,0.0007241154],"domain_scores_gemma":[0.9973482,0.0003668343,0.0003658705,0.0006010515,0.001073287,0.0002447962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006988395,0.002944253,0.4428657,0.01567404,0.001050511,0.003644551,0.3821092,0.0004327323,0.007900592,0.0548148,0.03929503,0.04856982],"study_design_scores_gemma":[0.003714251,0.006607151,0.2551923,0.006973425,0.0004816339,0.0001641632,0.4234329,0.0007239883,0.003272214,0.01055101,0.2843676,0.004519412],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861501,0.002117607,0.000002703692,0.0004438394,0.0005074464,0.001004516,0.0001750836,0.00009308495,0.00950562],"genre_scores_gemma":[0.9967902,0.00146525,0.00009938596,0.00007689574,0.0005065458,0.0002947637,0.00018889,0.00002762275,0.0005504771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2450725,"threshold_uncertainty_score":0.9997404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3596427960532637,"score_gpt":0.4163211147468714,"score_spread":0.05667831869360768,"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."}}