{"id":"W2737714083","doi":"10.1017/9781107279865.016","title":"Archival Data on Earlier Canadian English","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001751607,0.0008524493,0.0007076723,0.02103892,0.007894699,0.00343134,0.001735878,0.0005259509,0.0914721],"category_scores_gemma":[0.00694768,0.0004102988,0.000461345,0.0388348,0.001544276,0.001070198,0.002142946,0.001317436,0.01481806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03540934,"about_ca_system_score_gemma":0.06161233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850761,"about_ca_topic_score_gemma":0.9951457,"domain_scores_codex":[0.9969258,0.0001486989,0.0001452999,0.0003749616,0.001781297,0.0006238628],"domain_scores_gemma":[0.9886323,0.000645821,0.0003658227,0.0007149759,0.00910629,0.0005348814],"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":[0.0003104735,0.00006387269,0.01684832,0.002174421,0.00007968431,0.0008956018,0.04428972,0.0004530181,0.002677749,0.02937954,0.69305,0.2097777],"study_design_scores_gemma":[0.000005629988,0.000008290538,0.05251859,0.0003517543,0.00003305758,0.0001261595,0.00809739,0.00007300849,0.0006556625,0.0005547584,0.9375167,0.0000589496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05426171,0.00346755,0.004277754,0.001813911,0.001050915,0.0005524484,0.5901084,0.0007161472,0.3437512],"genre_scores_gemma":[0.1910349,0.005857177,0.01133916,0.0008860476,0.0002909444,0.001082039,0.2942411,0.001519165,0.4937495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0914721,"threshold_uncertainty_score":0.3060046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06354916962866775,"score_gpt":0.2640127315992783,"score_spread":0.2004635619706106,"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."}}