{"id":"W4401125112","doi":"10.1002/sdtp.17876","title":"P‐63: In‐Cabin Immersiveness Enhancement Based on Driving Environments and Driver's Emotion","year":2024,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Faurecia (Canada)","funders":"","keywords":"Psychology; Computer science","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":[0.0002886827,0.000442213,0.0001609222,0.0002455619,0.000292809,0.0007693443,0.0002898705,0.0003127082,0.003774838],"category_scores_gemma":[0.0005543214,0.0001314441,0.000303416,0.00009985355,0.0003823991,0.0007571876,0.0005906724,0.0003626049,0.0005155524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601141,"about_ca_system_score_gemma":0.0003121006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006189877,"about_ca_topic_score_gemma":0.000920829,"domain_scores_codex":[0.9998724,0.00003550043,0.000004609696,0.00002156119,0.00004566382,0.00002013538],"domain_scores_gemma":[0.9997577,0.00008089946,0.000020667,0.00002058435,0.0000882145,0.00003201652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005837106,0.0006789783,0.005780485,0.0009105742,0.00007313575,0.0004241915,0.003182122,0.00366345,0.5977154,0.01090639,0.004646276,0.3714354],"study_design_scores_gemma":[0.000189048,0.005426485,0.1404006,0.0003459508,0.0007286781,0.002994644,0.004121099,0.1086232,0.6048201,0.01180372,0.1203025,0.0002439784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4351266,0.00131144,0.5048375,0.0006886578,0.0002978793,0.0004737517,0.0001049765,0.001461928,0.05569732],"genre_scores_gemma":[0.9187225,0.0006476604,0.07070273,0.0001650576,0.00006949312,0.0001777988,0.00006575287,0.00008533173,0.009363669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003774838,"threshold_uncertainty_score":0.01262814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105621095584825,"score_gpt":0.2756493346245802,"score_spread":0.2650872250660977,"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."}}