{"id":"W2497483040","doi":"10.1075/hsld.4.03car","title":"Segmental targets versus lexical interference","year":2015,"lang":"en","type":"book-chapter","venue":"Hamburg studies on linguistic diversity","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Lexicon; Syllabic verse; Phonology; German; Context (archaeology); Phonetics; Speech production; Lexical item; Psychology; Computer science; Linguistics; Perception; Speech perception; Lexical access; Speech recognition; Natural language processing; Cognition; History","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004075637,0.0004854034,0.0007268742,0.0001956062,0.0004840848,0.00002062474,0.0006279321,0.000450882,0.002708964],"category_scores_gemma":[0.000698023,0.0004739467,0.0002016131,0.00003600191,0.000883413,0.00001259084,0.002514008,0.001078462,0.004540708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055843,"about_ca_system_score_gemma":0.00008713259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001214752,"about_ca_topic_score_gemma":0.00007319953,"domain_scores_codex":[0.9977121,0.00006500645,0.0003272198,0.0008223375,0.0005421047,0.0005312317],"domain_scores_gemma":[0.9978585,0.0005351063,0.0001985412,0.0006102407,0.0005376274,0.0002600201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007420333,0.000489254,0.0003922183,0.0001135403,0.006994975,0.003704075,0.03700786,0.000005605642,0.000003654802,0.3794504,0.5608814,0.003536648],"study_design_scores_gemma":[0.008868374,0.007398122,0.001352269,0.0006356523,0.001208055,0.0000346895,0.004015053,0.00001891061,0.00002861768,0.1294044,0.8444443,0.002591509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001513078,0.004243293,0.00001189874,0.0001060332,0.01556751,0.0002891769,0.000394209,0.0001001249,0.9777747],"genre_scores_gemma":[0.3634874,0.0004527237,0.00005939892,0.0002190209,0.001444827,0.00001130788,0.0001078913,0.00005616718,0.6341613],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3619743,"threshold_uncertainty_score":0.9997712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2546498482763799,"score_gpt":0.4065236260924117,"score_spread":0.1518737778160318,"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."}}