{"id":"W3037617329","doi":"10.1007/978-981-15-4771-3_6","title":"Register Variation in Hellenistic Greek: Factor Analysis of Quantitative Linguistic Patterns","year":2020,"lang":"en","type":"book-chapter","venue":"˜The œM. A. K. Halliday library functional linguistics series","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster Divinity College","funders":"","keywords":"Variation (astronomy); Situational ethics; Register (sociolinguistics); Linguistics; Point (geometry); Computer science; History; Natural language processing; Psychology; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009059168,0.0002393471,0.0002007188,0.001717546,0.0002426399,0.0009338978,0.0002039832,0.0001627344,0.002186432],"category_scores_gemma":[0.005348586,0.0001329293,0.000213774,0.00294002,0.0009349688,0.0005825604,0.0005150852,0.000232864,0.0003074434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305839,"about_ca_system_score_gemma":0.0003088668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399643,"about_ca_topic_score_gemma":0.002878352,"domain_scores_codex":[0.9994847,0.0002411347,0.00005737772,0.0001205812,0.00007419587,0.00002195419],"domain_scores_gemma":[0.9987674,0.0008177812,0.0001173529,0.0001784138,0.00009767489,0.0000214399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004074057,0.00009388246,0.2203144,0.0004205765,0.0003106829,0.0004103056,0.03465661,0.004315514,0.01855653,0.03871299,0.004112478,0.6776885],"study_design_scores_gemma":[0.00001707344,0.0001474868,0.9456133,0.00008984429,0.00007382612,0.0004189109,0.007167637,0.006987458,0.001579184,0.03016817,0.007683672,0.00005356167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983934,0.0008171405,0.006663947,0.0001459077,0.00001496975,0.00002413778,0.0005449785,0.00006098835,0.007793923],"genre_scores_gemma":[0.9953022,0.0002282531,0.002857945,0.000009052675,0.000008576501,0.00001714895,0.0003980775,0.00002163576,0.001157154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002399643,"threshold_uncertainty_score":0.007314324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05406338039851992,"score_gpt":0.273330965455353,"score_spread":0.219267585056833,"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."}}