{"id":"W6989763832","doi":"","title":"Canadian Humour: Language and Speech Deviations","year":2018,"lang":"uk","type":"other","venue":"Electronic Sumy State University Institutional Repository (Sumy State University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural language; Variation (astronomy); Noise (video); Focus (optics)","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.0005878521,0.001795539,0.001323696,0.006706949,0.005671765,0.0003696797,0.002108685,0.00101528,0.003272057],"category_scores_gemma":[0.0001040222,0.002535068,0.0005830024,0.003363367,0.00319008,0.001656126,0.0007979739,0.002032359,0.00621828],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.03071634,"about_ca_system_score_gemma":0.02695182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2760713,"about_ca_topic_score_gemma":0.5945908,"domain_scores_codex":[0.9906554,0.001087888,0.0006909345,0.002691961,0.001434648,0.003439133],"domain_scores_gemma":[0.9938278,0.0002564332,0.001107415,0.001375112,0.001074706,0.002358559],"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":[0.01090624,0.003877118,0.05652541,0.00208742,0.03268514,0.2148263,0.03029361,0.009675757,0.008779405,0.2546608,0.3632005,0.01248234],"study_design_scores_gemma":[0.003584309,0.0004557741,0.002578577,0.0004376192,0.001257384,0.0007115451,0.00511945,0.0006677316,0.0003161403,0.0001148278,0.9822179,0.002538759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2417147,0.0021509,0.0009223206,0.0003271732,0.0014336,0.002232454,0.006292669,0.0008307467,0.7440954],"genre_scores_gemma":[0.1757437,0.002025812,0.0004079666,0.0000858041,0.0003745396,7.240204e-7,0.001099656,0.0003960385,0.8198657],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6190174,"threshold_uncertainty_score":0.9995227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004802253187954869,"score_gpt":0.182733945162554,"score_spread":0.1779316919745991,"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."}}