{"id":"W2976223060","doi":"10.7557/5.4876","title":"Data citation in linguistics publications","year":2019,"lang":"en","type":"article","venue":"Septentrio Conference Series","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Citation; Presentation (obstetrics); Scholarly communication; Publishing; Linguistics; Applied linguistics; Computer science; Field (mathematics); Sociology; Library science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06779395,0.00125449,0.002104878,0.07764613,0.008052224,0.03627788,0.003711792,0.007674774,0.04277026],"category_scores_gemma":[0.3818085,0.001125516,0.001495972,0.1441676,0.01039066,0.0276588,0.01606737,0.006295711,0.01375931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01398109,"about_ca_system_score_gemma":0.01680159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004779589,"about_ca_topic_score_gemma":0.003858346,"domain_scores_codex":[0.8338296,0.08092593,0.02768552,0.01390399,0.04025418,0.003400694],"domain_scores_gemma":[0.4879638,0.3636872,0.04676235,0.03791664,0.05534956,0.008320475],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001064852,0.00005149752,0.007839209,0.006693386,0.0001542128,0.0002632566,0.01435368,0.0005599851,0.0002366364,0.4956618,0.2312388,0.242841],"study_design_scores_gemma":[0.00002302286,0.00003422553,0.005055375,0.006355231,0.00005932232,0.0003953115,0.004582942,0.0005588189,0.0003111626,0.1124094,0.8701209,0.00009415914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01859723,0.1854505,0.06536289,0.1632069,0.06365361,0.001183653,0.03895077,0.002503829,0.4610906],"genre_scores_gemma":[0.4418613,0.1797514,0.119393,0.02574929,0.05747934,0.005200964,0.05709897,0.004655791,0.1088099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.932206,"threshold_uncertainty_score":0.358533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117528215963513,"score_gpt":0.3078570841858431,"score_spread":0.2566818020262079,"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."}}