{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002426495,0.0004347488,0.000255064,0.0008366123,0.0002224092,0.001190851,0.0004082826,0.0006131898,0.002209129],"category_scores_gemma":[0.01285506,0.0001762109,0.0002745664,0.0004489804,0.0005307197,0.0006776652,0.0008814928,0.0005994239,0.0004829167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372714,"about_ca_system_score_gemma":0.0001630844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000372524,"about_ca_topic_score_gemma":0.000423788,"domain_scores_codex":[0.9976321,0.001071148,0.0001856656,0.0003382505,0.0006872742,0.00008555622],"domain_scores_gemma":[0.9913833,0.004125346,0.002058713,0.0006802983,0.001290326,0.0004620093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00244743,0.002241653,0.5176651,0.001442864,0.000736295,0.0002722872,0.007524239,0.001236456,0.3537018,0.001183713,0.001098261,0.1104499],"study_design_scores_gemma":[0.00005711434,0.002515077,0.9610378,0.00008914954,0.0001023466,0.0003880541,0.001589768,0.003666535,0.02873741,0.0006728654,0.00108921,0.00005469168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709543,0.0002157885,0.02408772,0.00003760429,0.00003951983,0.0003200528,0.0005501787,0.00009439907,0.0037005],"genre_scores_gemma":[0.9868249,0.0001133519,0.0112226,0.00003519373,0.00004308873,0.0005427513,0.0003893705,0.00002675229,0.0008019574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002426495,"threshold_uncertainty_score":0.01283264,"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."}}