{"id":"W7008656878","doi":"","title":"Clubs for the unclubbable: Humor and literary sociability","year":2016,"lang":"en","type":"article","venue":"Digital Commons - Michigan Tech (Michigan Technological University)","topic":"Literature: history, themes, analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Club; Newspaper; Reading (process); Space (punctuation); Institution; Quality (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001646777,0.0002891143,0.0002696434,0.0033634,0.0103931,0.01133507,0.0006022657,0.001148228,0.004291817],"category_scores_gemma":[0.004617867,0.0001624581,0.0001199347,0.003229008,0.02489633,0.007596423,0.003905595,0.001956332,0.0005111102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003404697,"about_ca_system_score_gemma":0.00172212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004061214,"about_ca_topic_score_gemma":0.008440497,"domain_scores_codex":[0.9977462,0.001628391,0.00004414186,0.0001208785,0.0002543849,0.0002059392],"domain_scores_gemma":[0.9972581,0.001466336,0.0003658705,0.0001841431,0.0002460484,0.0004794289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003720457,0.0000512386,0.003909882,0.0001475308,0.00001414094,0.0008600735,0.5791093,0.00005847493,0.0002059625,0.3557894,0.02185706,0.03795977],"study_design_scores_gemma":[0.00001325931,0.00004584937,0.01340401,0.0008719036,0.00001688431,0.0009962918,0.4655089,0.0001760987,0.0004363193,0.06091668,0.4575801,0.00003367958],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2438298,0.04632594,0.002362715,0.02934875,0.001117291,0.00003427095,0.0000812978,0.00009151844,0.6768083],"genre_scores_gemma":[0.9727192,0.004424614,0.0002268797,0.001010926,0.0004415515,0.00002325116,0.00002071674,0.00003859825,0.02109418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01133507,"threshold_uncertainty_score":0.02470291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682949306922762,"score_gpt":0.1797910845067036,"score_spread":0.162961591437476,"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."}}