{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001342231,0.0005042002,0.0005397713,0.002249567,0.0005774532,0.002989172,0.0004834731,0.0006026335,0.007251019],"category_scores_gemma":[0.02498325,0.0002231747,0.0003916331,0.002727084,0.001211451,0.003317646,0.001384501,0.0007026229,0.0006472934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007305458,"about_ca_system_score_gemma":0.0004267909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134056,"about_ca_topic_score_gemma":0.0008904926,"domain_scores_codex":[0.997745,0.0005445739,0.0002483679,0.0004304037,0.0009409545,0.00009070423],"domain_scores_gemma":[0.980651,0.01144189,0.003407948,0.002020484,0.002113193,0.000365511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001071898,0.0002500236,0.2260376,0.0008659606,0.0007361903,0.0008418405,0.002281045,0.07319207,0.01846517,0.2235238,0.009146672,0.4435878],"study_design_scores_gemma":[0.00004234341,0.0003654569,0.2345544,0.0001808116,0.0001857357,0.001329182,0.001259624,0.1318747,0.01173448,0.5993447,0.01889071,0.0002377706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.737227,0.00268987,0.1863922,0.001150302,0.0002005177,0.0001184867,0.003760466,0.000532044,0.06792907],"genre_scores_gemma":[0.9903911,0.0002803233,0.007329033,0.00007201723,0.00008604239,0.00002801329,0.0005848439,0.00003040649,0.001198115],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007251019,"threshold_uncertainty_score":0.02425706,"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."}}