{"id":"W2625814460","doi":"10.5334/labphon.96","title":"Production planning and coronal stop deletion in spontaneous speech","year":2017,"lang":"en","type":"article","venue":"Laboratory Phonology Journal of the Association for Laboratory Phonology","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Speech production; Context (archaeology); Computer science; Realization (probability); Locality; Speech recognition; Proxy (statistics); Natural language processing; Psychology; Artificial intelligence; Linguistics; Mathematics; Statistics; Geography; Machine learning","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":[0.001329049,0.0002448563,0.0003175497,0.0004445742,0.0002710771,0.0008908067,0.0002604351,0.0002431566,0.001172159],"category_scores_gemma":[0.01201507,0.0004161639,0.0001734431,0.0003120703,0.0009864254,0.0004939952,0.0007713373,0.0003741698,0.0001627769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720763,"about_ca_system_score_gemma":0.0002566619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834562,"about_ca_topic_score_gemma":0.002922066,"domain_scores_codex":[0.9987559,0.0004384046,0.00008470511,0.0003444311,0.0003191766,0.00005736794],"domain_scores_gemma":[0.9887904,0.008499674,0.001403652,0.0007318402,0.0003758863,0.00019856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002053845,0.0004123147,0.475849,0.0005567632,0.0003103978,0.0008467442,0.009133618,0.004191198,0.435697,0.001729041,0.0002323296,0.06898777],"study_design_scores_gemma":[0.00002257611,0.0002783672,0.9877088,0.00001277923,0.00002918333,0.0004170713,0.0004594807,0.002498659,0.00760665,0.000668195,0.0002730656,0.00002525075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979956,0.00007876579,0.001380322,0.000007594198,0.000002226348,0.000007842987,0.00005752295,0.00001621433,0.0004538866],"genre_scores_gemma":[0.9987265,0.00004345613,0.0009069304,0.000006594297,0.000002861179,0.00002188707,0.0001523025,0.00001604769,0.0001233178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001834562,"threshold_uncertainty_score":0.007028759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428464242443307,"score_gpt":0.3321574729516299,"score_spread":0.3078728305271968,"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."}}