{"id":"W2944549923","doi":"","title":"Where does my laughter hurt you","year":2015,"lang":"en","type":"article","venue":"Farmers' Weekly","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laughter; Session (web analytics); Recession; Quarter (Canadian coin); State (computer science); Political science; Political economy; Keynesian economics; Economics; History; Psychology; Advertising; Business; Social psychology; Computer science","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":[0.002531698,0.00101429,0.001002097,0.0008742169,0.006701828,0.008810788,0.001104254,0.005089095,0.1182368],"category_scores_gemma":[0.02536325,0.0004231986,0.0009359916,0.0006318984,0.003091058,0.005465391,0.002845763,0.009382395,0.1351359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149097,"about_ca_system_score_gemma":0.001811819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005045835,"about_ca_topic_score_gemma":0.005773285,"domain_scores_codex":[0.9977215,0.0006239453,0.00009246396,0.0003059238,0.0007179881,0.00053821],"domain_scores_gemma":[0.9859637,0.001130157,0.001094664,0.0005114041,0.006830149,0.004469959],"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":[0.00003712505,0.00002105162,0.0007296103,0.00008907884,0.000009700158,0.0001930908,0.00184602,0.00001008686,0.0002471363,0.001079865,0.9833039,0.01243336],"study_design_scores_gemma":[0.00001227834,0.00005693692,0.001523196,0.0003587511,0.0000121794,0.0006950225,0.008936531,0.00004528843,0.0002283107,0.0008698154,0.9872105,0.00005125293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004693926,0.009391994,0.001390195,0.6925738,0.1839237,0.0001035035,0.0005283241,0.00143125,0.1059633],"genre_scores_gemma":[0.04932116,0.009880666,0.001466872,0.3523002,0.05772254,0.0001624967,0.0004183615,0.001932133,0.5267957],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1182368,"threshold_uncertainty_score":0.3955415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05235722786648128,"score_gpt":0.2492996228508189,"score_spread":0.1969423949843377,"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."}}