{"id":"W4385599664","doi":"10.59962/9780774836845-002","title":"Acknowledgments","year":2018,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Humor Studies and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005203977,0.000114447,0.0003455042,0.00002558678,0.0002198883,0.00003907159,0.0004400502,0.0002815574,0.01555915],"category_scores_gemma":[0.000002184541,0.0002945599,0.0001747254,0.000004869803,0.0005676271,0.00001134325,0.0003110618,0.0002000294,0.0004562529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004478644,"about_ca_system_score_gemma":0.00002953546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0454488,"about_ca_topic_score_gemma":0.1168089,"domain_scores_codex":[0.9990201,0.00001539118,0.0001660241,0.0004316197,0.0001571692,0.0002097227],"domain_scores_gemma":[0.9990195,0.00002759999,0.0002206157,0.0004701474,0.0001724266,0.0000896779],"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":[0.00001188497,0.00004170452,0.00001510032,0.00003753323,0.0003971254,0.0001052886,0.0009774303,2.018879e-8,0.000001580772,0.01114203,0.9537046,0.03356573],"study_design_scores_gemma":[0.000504134,0.0000708244,0.0003890579,0.0001932986,0.000161259,0.00001628548,0.0002564599,5.239324e-7,3.473373e-7,0.002080976,0.99608,0.0002468668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006509204,0.0003266683,0.00002210018,0.000005705172,0.0003173897,0.0003864261,0.0009630558,0.00007037356,0.9972574],"genre_scores_gemma":[0.00231987,0.0001264572,0.0001340052,0.00002364979,0.0001466943,0.000001532282,0.00003037476,0.00003407224,0.9971833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07136013,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893753360940335,"score_gpt":0.2362885515314086,"score_spread":0.2073510179220053,"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."}}