{"id":"W1830679227","doi":"10.1007/978-3-642-03655-2_12","title":"Emotional Bandwidth: Information Theory Analysis of Affective Response Ratings Using a Continuous Slider","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Color perception and design","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Slider; Computer science; Bandwidth (computing); Entropy (arrow of time); Cognitive psychology; Psychology; Telecommunications","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":[0.002219872,0.0003591149,0.0003984286,0.001747436,0.0002747374,0.001281059,0.0006032113,0.0004068282,0.007976497],"category_scores_gemma":[0.01609498,0.000205408,0.0004511893,0.001651162,0.0004023464,0.0017151,0.0007480155,0.0006230052,0.0008545446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003683678,"about_ca_system_score_gemma":0.0001765939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007667585,"about_ca_topic_score_gemma":0.000701758,"domain_scores_codex":[0.9986207,0.0005844809,0.00006002919,0.0002044219,0.0004521315,0.00007821856],"domain_scores_gemma":[0.9905283,0.007986235,0.0003221276,0.0004528278,0.0006011903,0.0001093518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003444871,0.0005668963,0.02032274,0.0007269635,0.0003436673,0.0002032723,0.002258489,0.01903621,0.07725707,0.03015591,0.005074728,0.8406091],"study_design_scores_gemma":[0.0001487086,0.00136421,0.1793157,0.0001294529,0.0003292004,0.0005970841,0.001450829,0.7392907,0.03894459,0.03245618,0.005739684,0.0002336902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3253568,0.0005331172,0.6617448,0.000163408,0.0001138664,0.0003017787,0.0009175497,0.001451283,0.009417449],"genre_scores_gemma":[0.8551683,0.0001760121,0.1416806,0.00003472263,0.00008381959,0.0002662168,0.0006588873,0.0002030297,0.001728571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007976497,"threshold_uncertainty_score":0.02668405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166457511155198,"score_gpt":0.3012421720902828,"score_spread":0.2795775969787308,"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."}}