{"id":"W3022341434","doi":"","title":"Links between representation of outdoor soundscape, noise annoyance at home and outdoor acoustic measurement","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Noise Effects and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroDevNet","funders":"","keywords":"Soundscape; Annoyance; Perception; Noise (video); Representation (politics); Acoustics; Computer science; Sound (geography); Psychology; Artificial intelligence; Loudness; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008544693,0.0004240129,0.0008405589,0.0002750952,0.0006055221,0.00008638561,0.0008225824,0.0006583136,0.0001799137],"category_scores_gemma":[0.001847877,0.0004224364,0.000198772,0.0003072863,0.0001941332,0.0001290507,0.003166927,0.00135727,0.000137681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409495,"about_ca_system_score_gemma":0.0003730248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646226,"about_ca_topic_score_gemma":0.002117777,"domain_scores_codex":[0.989498,0.006906915,0.001103822,0.001019108,0.0009250693,0.0005470398],"domain_scores_gemma":[0.9905781,0.002349383,0.001425931,0.002485213,0.002927859,0.0002334941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003887558,0.001866445,0.7085682,0.0223795,0.001803553,0.00001760013,0.07812016,0.00151591,0.04554756,0.02114575,0.04862611,0.07002047],"study_design_scores_gemma":[0.006685624,0.000009177381,0.8883265,0.02387398,0.00129126,0.000003034605,0.002295419,0.01030176,0.01953868,0.007165213,0.03810839,0.002401004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8445726,0.002494286,0.0888491,0.01013751,0.001538172,0.005123865,0.0003451512,0.0003359217,0.04660338],"genre_scores_gemma":[0.9763783,0.0008175109,0.004451941,0.0001648463,0.0000947777,0.0002767798,0.0004732402,0.00007512638,0.01726748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1797583,"threshold_uncertainty_score":0.9998227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04948083970821336,"score_gpt":0.32379245615693,"score_spread":0.2743116164487167,"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."}}