{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003315668,0.00009331365,0.000164631,0.0001555466,0.00005251695,0.00005158955,0.00007852918,0.0001192861,0.0005629371],"category_scores_gemma":[0.00009708173,0.00009394113,0.00002287955,0.00005184873,0.00008241844,0.0001059872,0.0000998261,0.0002641217,0.000003438539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004157513,"about_ca_system_score_gemma":0.00006726569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004355808,"about_ca_topic_score_gemma":0.00003565582,"domain_scores_codex":[0.9993908,0.0000498277,0.0001766002,0.0001709201,0.0001011663,0.0001107038],"domain_scores_gemma":[0.9995564,0.00004213948,0.0001682381,0.0001245455,0.00007775384,0.00003090026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008884894,0.0002366422,0.5346289,0.00244343,0.0002826159,0.0000104339,0.01219322,0.00003065512,0.1593016,0.2522828,0.03846247,0.00003841614],"study_design_scores_gemma":[0.0006662154,0.0001017876,0.9086989,0.0005383754,0.0001139521,4.250414e-8,0.0007078041,0.0002991587,0.01003224,0.000434577,0.0778489,0.0005580173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957306,0.001772406,0.000004163001,0.0001839831,0.0002154984,0.0001071202,0.0001986762,0.00002727765,0.001760286],"genre_scores_gemma":[0.9993955,0.0000749211,0.0001150219,0.00009143586,0.0001673261,0.000008415535,2.081883e-7,0.00001841658,0.0001286994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.37407,"threshold_uncertainty_score":0.6163766,"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."}}