{"id":"W3203902718","doi":"10.4324/9781315104942-24","title":"Revising the Dictionary of Canadianisms on Historical Principles","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Natural language processing; History; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006915442,0.0001616921,0.0002212546,0.00007665983,0.0007460461,0.00007265102,0.0001965331,0.00006178058,0.002678338],"category_scores_gemma":[0.00001738281,0.00009042113,0.0002049587,0.000001356309,0.0003539236,0.00004062365,0.00004099049,0.0001944265,0.00001938221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008983021,"about_ca_system_score_gemma":0.0000363162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00441025,"about_ca_topic_score_gemma":0.02755258,"domain_scores_codex":[0.9993845,0.000006510802,0.0001872617,0.0001465753,0.0001734096,0.0001017204],"domain_scores_gemma":[0.9992756,0.00006754258,0.0002013842,0.0003566628,0.00006900549,0.00002985313],"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":[0.000005164782,0.000005185392,0.000002110013,0.00002470645,0.0001056937,0.000009606688,0.004870446,1.441699e-7,1.15237e-7,0.9673574,0.02367038,0.003949041],"study_design_scores_gemma":[0.0000351529,0.00005655855,0.00001973391,0.0001704187,0.00004176626,0.000001085784,0.0002309658,2.94318e-7,0.000001092053,0.009218289,0.990108,0.0001166068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006862385,0.004002831,0.000001518568,0.0009077114,0.0007224436,0.0001100593,0.00005047173,0.00002443752,0.9941736],"genre_scores_gemma":[0.009098435,0.0003852219,0.000008076166,0.0003015361,0.001292449,0.000003843058,0.000008588408,0.00001905048,0.9888828],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9664376,"threshold_uncertainty_score":0.9982334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08696810853876108,"score_gpt":0.2240334048100434,"score_spread":0.1370652962712823,"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."}}