{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001902252,0.0002612804,0.0005136795,0.002049145,0.0001203562,0.00008649225,0.0003756378,0.0002907566,0.001019398],"category_scores_gemma":[0.0002465151,0.0002410762,0.0001935002,0.0009869229,0.0005068423,0.0002667178,0.00008814051,0.0003759914,0.00003100546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002204679,"about_ca_system_score_gemma":0.0002350083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003397428,"about_ca_topic_score_gemma":0.00002869922,"domain_scores_codex":[0.9980709,0.0002242547,0.0004960739,0.0004592994,0.0004873721,0.0002620791],"domain_scores_gemma":[0.9975752,0.001171188,0.0004119963,0.0004429548,0.0003327372,0.00006588177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001131159,0.00009203751,0.0003091682,0.00001700012,0.0002797817,0.00002697232,0.01738503,0.06807753,0.001011381,0.01223256,0.00005362036,0.8993838],"study_design_scores_gemma":[0.003674995,0.002668168,0.2304401,0.00085762,0.001575933,0.0002590732,0.00005847476,0.5923745,0.0007228339,0.162332,0.002260622,0.002775651],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01879206,0.00005298518,0.9750807,0.00009759735,0.00049777,0.0003103322,0.00002028492,0.00003992214,0.005108356],"genre_scores_gemma":[0.9720302,0.000002038194,0.02503841,0.002044447,0.0001368412,0.000004693053,0.0000253114,0.00001393324,0.0007041143],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9532381,"threshold_uncertainty_score":0.9998938,"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."}}