{"id":"W2029960962","doi":"10.1037/cjep2007006","title":"Categorization of environmental sounds.","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Multisensory perception and integration","field":"Psychology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"H2020 Environment; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation","keywords":"Categorization; Situational ethics; Psychology; Identification (biology); Cognitive psychology; Relation (database); Sound (geography); Relevance (law); Task (project management); sort; Communication; Computer science; Social psychology; Artificial intelligence; Information retrieval; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001266293,0.0003643102,0.0004935998,0.0009580007,0.0001808768,0.00002882179,0.000695916,0.0004102596,0.0104917],"category_scores_gemma":[0.00006098558,0.0003950102,0.0002921936,0.0003372436,0.0006456373,0.0002496492,0.0000182245,0.0005047905,0.0001857689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245539,"about_ca_system_score_gemma":0.0001907036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003768809,"about_ca_topic_score_gemma":0.01547459,"domain_scores_codex":[0.9967065,0.0001897524,0.001249148,0.000529922,0.0001312172,0.001193411],"domain_scores_gemma":[0.9970714,0.00007252519,0.000750221,0.0006258178,0.00009218629,0.001387777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006132379,0.0009302479,0.05008368,0.00001013942,0.0002506553,0.0008435335,0.03118965,0.00001023235,0.8773431,0.003981967,0.02421027,0.0105333],"study_design_scores_gemma":[0.007843693,0.004324123,0.7412575,0.0001232616,0.0001218774,0.006728109,0.101406,0.0000175553,0.09450707,0.00107901,0.04134063,0.001251144],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569477,0.00193205,0.001496926,0.0002486589,0.005182256,0.0003166853,0.00009552502,0.00002054765,0.03375969],"genre_scores_gemma":[0.9955238,0.00002348997,0.001272978,0.001379473,0.0004349377,0.00001296959,0.00005122404,0.00006144509,0.001239731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.782836,"threshold_uncertainty_score":0.9998502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04766543492721105,"score_gpt":0.3399500343706562,"score_spread":0.2922845994434451,"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."}}