{"id":"W4205344503","doi":"10.31219/osf.io/892fp","title":"Extrametricality and second language acquisition","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Stress (linguistics); Syllable; Categorical variable; Variety (cybernetics); Psychology; Prosody; Linguistics; Feature (linguistics); Second-language acquisition; European Portuguese; Portuguese; Computer science; Cognitive psychology; Speech recognition; Artificial intelligence","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":[0.0005021512,0.0002823141,0.0002766713,0.0005209883,0.0003672148,0.001141075,0.0002135475,0.0002677221,0.00617433],"category_scores_gemma":[0.003469747,0.0001253428,0.0001798487,0.0003774682,0.0004983062,0.0004970135,0.0009221389,0.0004649402,0.000581077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905091,"about_ca_system_score_gemma":0.0003333709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002065758,"about_ca_topic_score_gemma":0.002943721,"domain_scores_codex":[0.9994961,0.0001045198,0.0000353813,0.0001137918,0.000160409,0.00008985968],"domain_scores_gemma":[0.9965428,0.001074771,0.001179797,0.0002292965,0.0003277762,0.0006456386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001102675,0.001091835,0.8633589,0.0001965879,0.00005935141,0.003009063,0.01550034,0.0001123711,0.0433342,0.001416144,0.0003771193,0.07044151],"study_design_scores_gemma":[0.000009196234,0.0006984483,0.9938331,0.00001568009,0.000008014269,0.001219325,0.001238724,0.00008257736,0.001434357,0.0003229213,0.001125323,0.00001236809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971524,0.00011825,0.00006828053,0.00003403032,0.000003337875,0.000004071795,0.00004137046,0.00000518401,0.002573109],"genre_scores_gemma":[0.9981574,0.0000671853,0.0001008826,0.00002306323,0.000004735688,0.000005659526,0.00005955314,0.000005465798,0.001576061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00617433,"threshold_uncertainty_score":0.02065516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04227949454201266,"score_gpt":0.3883945408108124,"score_spread":0.3461150462687997,"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."}}