{"id":"W3157482909","doi":"10.1017/s0954394520000216","title":"Obviously undergoing change: Adverbs of evidentiality across time and space","year":2021,"lang":"en","type":"article","venue":"Language Variation and Change","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Evidentiality; Space (punctuation); Linguistics; Scale (ratio); Sound change; History; Key (lock); Geography; Computer science; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001576774,0.00009301377,0.0001667855,0.002050592,0.001195281,0.001658794,0.0003434205,0.0002934218,0.002578962],"category_scores_gemma":[0.008746753,0.0001090719,0.0001102642,0.002844581,0.002932836,0.001505047,0.00190542,0.0006702499,0.0001402676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082671,"about_ca_system_score_gemma":0.0006051328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467692,"about_ca_topic_score_gemma":0.02874177,"domain_scores_codex":[0.9990238,0.0003752669,0.00007655689,0.000155488,0.0002492673,0.0001196574],"domain_scores_gemma":[0.990198,0.004859829,0.002322068,0.0007251399,0.001518516,0.0003764388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004448972,0.00005235291,0.5592057,0.0002921607,0.00008240031,0.001591433,0.3248295,0.000494707,0.01998214,0.03635923,0.001546232,0.05511924],"study_design_scores_gemma":[0.000003126414,0.00006095512,0.8968792,0.00005000965,0.0000135067,0.000348962,0.08809627,0.0004774658,0.001045242,0.003275217,0.009718915,0.00003107078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919728,0.0001389056,0.0009155446,0.0001940254,0.0000123907,0.000008551113,0.0001380795,0.000009982184,0.006609705],"genre_scores_gemma":[0.9994978,0.00002738273,0.0002198493,0.000009235078,0.000003286437,0.000002782715,0.00003627014,0.000003239555,0.0001999988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467692,"threshold_uncertainty_score":0.02918297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04437816598554919,"score_gpt":0.3454429736576115,"score_spread":0.3010648076720623,"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."}}