{"id":"W4407219662","doi":"10.1075/ml.24006.wes","title":"Orthographic uncertainty","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Computer science; Natural language processing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002386911,0.00009355916,0.00007879866,0.00009241763,0.0001109775,0.000170712,0.0006921703,0.00002271178,0.00002885076],"category_scores_gemma":[0.000004292645,0.00005731395,0.0001037037,0.0006064374,0.00007519307,0.0003129757,0.0002112056,0.000127965,0.0001165348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004248754,"about_ca_system_score_gemma":0.00002045436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002417178,"about_ca_topic_score_gemma":0.00001867186,"domain_scores_codex":[0.9992459,0.00004291959,0.0001149061,0.0002447514,0.0001892027,0.0001622794],"domain_scores_gemma":[0.9994276,0.00005103029,0.00002085877,0.0004582687,0.00001073394,0.00003154924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002940269,0.00002606099,0.0001187526,0.00001073344,0.00005704716,0.00002384766,0.0008000614,0.00005084392,0.01168633,0.8114117,0.002799038,0.1730127],"study_design_scores_gemma":[0.0001885817,0.0001977494,0.0006451443,0.000133882,0.00004972423,0.00009488895,0.0001356602,0.1925567,0.05833135,0.5070066,0.2400957,0.0005639344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07545666,0.004025383,0.8785539,0.01435315,0.001009595,0.0005426618,0.000007250575,0.003942853,0.02210859],"genre_scores_gemma":[0.9926648,0.00005782445,0.006133767,0.0003806176,0.00004566722,0.00002081076,0.00000312546,0.000007529786,0.0006858264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9172082,"threshold_uncertainty_score":0.2337195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113426503510872,"score_gpt":0.281487742315883,"score_spread":0.2701450919647958,"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."}}