{"id":"W4406503124","doi":"10.1016/0960-4634(91)90068-q","title":"10.1016/0960-4634(91)90068-q","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Standardization; Character (mathematics); Computer science; Natural language processing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007471012,0.0001539098,0.0001633699,0.00008393676,0.0003392564,0.0001247604,0.0001590968,0.00002888622,0.9994207],"category_scores_gemma":[0.00001090853,0.0001253265,0.0001106211,0.00005921566,0.0001399484,0.0001220719,0.00003189073,0.00009152078,0.987727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001005932,"about_ca_system_score_gemma":0.000008361516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001419686,"about_ca_topic_score_gemma":0.00001242604,"domain_scores_codex":[0.9992141,0.00002567515,0.0001494708,0.0001933791,0.0001424108,0.0002749639],"domain_scores_gemma":[0.9996077,0.00003540178,0.00002268558,0.0002078669,0.00004701654,0.00007933685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004548683,0.00005887245,9.131804e-8,0.000009521499,0.00006455699,0.00000933202,0.005487619,0.000003193245,0.000002046042,0.0002296663,0.5955238,0.3985658],"study_design_scores_gemma":[0.0001664598,0.0001218719,0.000008885477,0.00001807376,0.00002531362,0.00000167148,0.0001112766,0.000005227294,0.00001189516,0.0000481362,0.9992819,0.0001992562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006494365,0.0004074501,7.50237e-8,0.0002867712,0.000005439637,0.0001308545,0.00004615891,0.000194018,0.9982798],"genre_scores_gemma":[0.001163715,7.665722e-7,0.00001435007,0.0001716145,0.000780162,0.00002513626,0.00001415938,0.00002039854,0.9978097],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4037581,"threshold_uncertainty_score":0.5110666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00775861329615164,"score_gpt":0.1575614175403111,"score_spread":0.1498028042441595,"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."}}