{"id":"W6949269208","doi":"10.5281/zenodo.15185187","title":"\"Editorial Conventions - Why is Editing Important?\"","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Exposition (narrative); Government (linguistics); Subject (documents); Focus (optics); Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.1946403,0.002386613,0.003234495,0.007179383,0.01296338,0.03406397,0.008943633,0.01364679,0.02385174],"category_scores_gemma":[0.5267724,0.001860422,0.001472748,0.005674894,0.01419573,0.01238866,0.007451546,0.02993797,0.03795953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006865611,"about_ca_system_score_gemma":0.02385956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002826379,"about_ca_topic_score_gemma":0.005068835,"domain_scores_codex":[0.7551584,0.08627673,0.04704741,0.01521568,0.08680278,0.009498931],"domain_scores_gemma":[0.3049971,0.2105213,0.05230603,0.05465761,0.3493024,0.02821547],"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":[0.00004750908,0.00001696633,0.00009473735,0.000328153,0.00001417657,0.00006929209,0.000436775,0.00001653346,0.0003738636,0.00471295,0.9792772,0.01461185],"study_design_scores_gemma":[0.00003641075,0.00002366307,0.0004996541,0.0008486686,0.0000478708,0.000172591,0.0007413141,0.0001909292,0.0007411451,0.007496692,0.9891412,0.00005992993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0007171906,0.00332794,0.008667082,0.3819284,0.5830622,0.0003337408,0.0005623691,0.002131924,0.01926914],"genre_scores_gemma":[0.03216684,0.007337548,0.03530064,0.3707659,0.4190905,0.002637251,0.001885074,0.006645588,0.1241706],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.965936,"threshold_uncertainty_score":0.9931519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08549631447435202,"score_gpt":0.3447508178668195,"score_spread":0.2592545033924675,"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."}}