{"id":"W1983035758","doi":"10.1371/journal.pone.0025198","title":"Cross-Modal Prediction in Speech Perception","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Multisensory perception and integration","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University","funders":"Ministerio de Ciencia e Innovación; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; Generalitat de Catalunya","keywords":"Modality (human–computer interaction); Stimulus modality; Context (archaeology); Perception; Modalities; Speech perception; Auditory perception; Speech recognition; Computer science; Sensory system; Communication; Psychology; Cognitive psychology; Artificial intelligence; Neuroscience; Biology","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":["insufficient_payload"],"category_scores_codex":[0.0001504237,0.00008757387,0.0001118991,0.0001342524,0.00004007658,0.00001596605,0.00006946395,0.0001502934,0.0986285],"category_scores_gemma":[0.00002829507,0.00008842687,0.000033202,0.0001013964,0.00004814717,0.0001734311,0.000009339951,0.0001851944,0.007029563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007449885,"about_ca_system_score_gemma":0.000006584021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004098749,"about_ca_topic_score_gemma":0.0001310736,"domain_scores_codex":[0.9991271,0.00008053338,0.0002319127,0.0002360512,0.0001614329,0.0001629657],"domain_scores_gemma":[0.9996238,0.000008659811,0.00004332334,0.0002086715,0.00006833134,0.00004718923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004052093,0.005200815,0.6811927,0.00002613854,0.00006855997,0.00001279195,0.02159613,0.00000109846,0.2734288,0.0009887726,0.001434399,0.01564464],"study_design_scores_gemma":[0.0005777777,0.0001477976,0.9955932,0.00002855863,0.00001453392,0.000003928441,0.0006806073,0.0007458234,0.001914427,0.0001024995,0.0001032748,0.00008758463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8645473,0.000005149759,0.0001121816,0.0000329923,0.0001822591,0.0002027711,0.00001253535,0.0001004724,0.1348043],"genre_scores_gemma":[0.9755191,0.00001057975,0.001681405,0.0001394429,0.0001861921,0.00005075374,0.00004282999,0.00001482306,0.02235491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3144005,"threshold_uncertainty_score":0.9937436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1965591611504202,"score_gpt":0.3405466722302816,"score_spread":0.1439875110798614,"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."}}