{"id":"W4254130444","doi":"10.1017/9781139568395.031","title":"Description Of Principal Texts","year":2019,"lang":"en","type":"other","venue":"","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Principal (computer security); Computer science; Natural language processing; Mathematics; Linguistics; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001592548,0.001225888,0.0006729676,0.01664182,0.002057723,0.005345895,0.001261024,0.0008136429,0.3931402],"category_scores_gemma":[0.00765979,0.0005978044,0.0006341862,0.01291598,0.0008912897,0.003683208,0.002293947,0.001689349,0.3427906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875915,"about_ca_system_score_gemma":0.004796164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005077211,"about_ca_topic_score_gemma":0.005218878,"domain_scores_codex":[0.998203,0.0003242757,0.000254286,0.0003554429,0.0007119816,0.0001509536],"domain_scores_gemma":[0.9924107,0.001836263,0.0004822306,0.0011305,0.003553191,0.0005871922],"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":[0.0002942052,0.00008551802,0.001308014,0.001163701,0.000009438636,0.0001834731,0.0007055439,0.0002600798,0.003639995,0.03495599,0.7688381,0.188556],"study_design_scores_gemma":[0.00001278976,0.00001377649,0.001070232,0.0001045508,0.000004800012,0.0001319198,0.0001986218,0.0002618824,0.001416256,0.002686415,0.9940885,0.00001029987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006463734,0.001367312,0.0323039,0.001887033,0.001221512,0.002145295,0.519499,0.009389034,0.4257232],"genre_scores_gemma":[0.01570307,0.002145979,0.05311957,0.0003958957,0.0004934972,0.002788221,0.467604,0.006777626,0.450972],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3931402,"threshold_uncertainty_score":0.8656119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0333951902198006,"score_gpt":0.2288928639418448,"score_spread":0.1954976737220442,"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."}}