{"id":"W4220787210","doi":"10.1101/2022.03.18.484880","title":"If this title is funny, will you cite me? Citation impacts of humour and other features of article titles in ecology and evolution","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Citation; Audience measurement; History; Computer science; Library science; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01433263,0.0002931522,0.0007125411,0.004396519,0.001195308,0.005197027,0.0005779061,0.0007115324,0.01106568],"category_scores_gemma":[0.1264067,0.0001906713,0.0007401931,0.005955542,0.001278024,0.00287301,0.002091648,0.001004703,0.001622812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008660099,"about_ca_system_score_gemma":0.0006531065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007818599,"about_ca_topic_score_gemma":0.001250121,"domain_scores_codex":[0.9921004,0.003696617,0.0006786531,0.0006328262,0.002527484,0.0003640144],"domain_scores_gemma":[0.7576645,0.1637037,0.04417692,0.009496481,0.01705127,0.007907153],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003406233,0.0004728484,0.6334334,0.003451675,0.001711742,0.0007636734,0.006456563,0.00166529,0.01939441,0.006477668,0.01383005,0.3089364],"study_design_scores_gemma":[0.0001061144,0.0007762106,0.9394743,0.0009579661,0.000587303,0.0007102532,0.003118969,0.00352146,0.01096949,0.01222737,0.02741415,0.0001363547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569498,0.008374944,0.005090874,0.00323388,0.001298288,0.00009625053,0.001833362,0.0001812355,0.02294124],"genre_scores_gemma":[0.9902822,0.001479328,0.00233319,0.0004307069,0.0005976253,0.00006216038,0.0006012212,0.00009463694,0.004118986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9956035,"threshold_uncertainty_score":0.07579911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686792998541313,"score_gpt":0.2254138960221738,"score_spread":0.2085459660367607,"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."}}