{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003285178,0.0001310047,0.000255856,0.0001077038,0.00002074333,0.00004574437,0.0001191421,0.000075,0.08585466],"category_scores_gemma":[0.00003034733,0.00008172851,0.0001148957,0.00001272564,0.00007781058,0.00001800365,0.00003216304,0.00006337571,0.001543603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001460927,"about_ca_system_score_gemma":0.00001121918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004679556,"about_ca_topic_score_gemma":0.01279955,"domain_scores_codex":[0.9994417,0.00001193286,0.0001605778,0.0001423091,0.0001465037,0.00009699787],"domain_scores_gemma":[0.9995289,0.000007277001,0.0001647057,0.0002018442,0.0000767268,0.00002055837],"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":[0.00000177892,0.00002436592,0.00002716484,0.0001327467,0.000157616,0.000001882205,0.003148046,4.183013e-7,0.0000118073,0.3251248,0.6710616,0.0003077301],"study_design_scores_gemma":[0.00007029506,0.00001507358,0.000006488377,0.00006907236,0.0001081592,1.950366e-7,0.0007074525,0.00001224709,0.00001002303,0.0003498414,0.9985163,0.0001348052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000540561,0.0002392039,0.00003095234,0.00001637233,0.0006837894,0.0001070152,0.00006063384,0.00009704401,0.9987109],"genre_scores_gemma":[0.01773221,0.00001312761,0.0001594532,0.00006299961,0.001755475,0.000002173925,0.00007199871,0.00009818704,0.9801044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3274547,"threshold_uncertainty_score":0.9992338,"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."}}