{"id":"W2479001594","doi":"10.1090/coll/061/06","title":"The local classification","year":2013,"lang":"en","type":"book-chapter","venue":"Colloquium Publications - American Mathematical Society/Colloquium Publications","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.00133332,0.0005871083,0.00125275,0.003235625,0.002559348,0.005387459,0.001740182,0.001432906,0.03396561],"category_scores_gemma":[0.00615812,0.0004154298,0.001086635,0.003860506,0.003726905,0.008763214,0.003332056,0.003316906,0.01381124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002382623,"about_ca_system_score_gemma":0.001270275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003368224,"about_ca_topic_score_gemma":0.002265343,"domain_scores_codex":[0.9985025,0.0003825406,0.00008999406,0.0005986034,0.0002805592,0.0001458615],"domain_scores_gemma":[0.9980258,0.0005125382,0.000119561,0.0008053624,0.0004146099,0.0001222135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000352258,0.00001213928,0.0004351629,0.00008379337,0.00001388401,0.00002215033,0.0002015125,0.0007096996,0.0002331195,0.8364217,0.04969618,0.1121354],"study_design_scores_gemma":[0.00000849063,0.00001212741,0.0005613816,0.00006323776,0.00001702362,0.00009509231,0.000125941,0.006529902,0.0004243912,0.9028715,0.08927646,0.00001436305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03954129,0.01661474,0.4998815,0.0145408,0.002124368,0.0001780411,0.004287139,0.002281811,0.4205503],"genre_scores_gemma":[0.5551153,0.00616543,0.1297251,0.002756161,0.002915319,0.0005697579,0.009594683,0.001539291,0.2916189],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03396561,"threshold_uncertainty_score":0.1136263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04432568815835157,"score_gpt":0.3181008243023806,"score_spread":0.273775136144029,"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."}}