{"id":"W3142971719","doi":"10.17605/osf.io/4jfrm","title":"SPADE -- Speech Across Dialects of English","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Computer science; Natural language processing; History; Speech recognition; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006221653,0.0001962418,0.000187964,0.0005346755,0.0004767406,0.001360527,0.0001084218,0.0002390273,0.00696843],"category_scores_gemma":[0.002670942,0.0001467047,0.00007575673,0.0004758325,0.0003678109,0.0006869906,0.001029134,0.0002178832,0.001306204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161562,"about_ca_system_score_gemma":0.0001672644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004513647,"about_ca_topic_score_gemma":0.007007544,"domain_scores_codex":[0.9996009,0.0001256599,0.00003447991,0.0001245039,0.00007973267,0.00003479086],"domain_scores_gemma":[0.9991366,0.0004345078,0.00007782507,0.00009221046,0.0001913988,0.00006755855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002259557,0.0002232897,0.2791101,0.001066104,0.0004364918,0.001452807,0.1907491,0.0004680476,0.1578491,0.01393428,0.02100023,0.3314509],"study_design_scores_gemma":[0.00003593083,0.0001211201,0.9300464,0.0001256336,0.00006308618,0.001784361,0.02822242,0.0004552089,0.005006978,0.001766003,0.032332,0.0000408359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771163,0.0005482308,0.0006034924,0.0002056693,0.00006000281,0.000009364489,0.001026286,0.00004439216,0.02038624],"genre_scores_gemma":[0.995522,0.0001666362,0.0003390562,0.00003539173,0.00001335033,0.000009656389,0.0006416814,0.00004935019,0.003222811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00696843,"threshold_uncertainty_score":0.02331173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827853630148635,"score_gpt":0.3098920538469619,"score_spread":0.2816135175454755,"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."}}