{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002611552,0.0001031128,0.0001241937,0.0001875267,0.00004676211,0.0004127045,0.001871422,0.00006473924,0.00006690915],"category_scores_gemma":[0.0009353767,0.00009723775,0.00001395782,0.0005921761,0.00004098925,0.001163648,0.0005859698,0.0001750955,0.00009748953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003245888,"about_ca_system_score_gemma":0.0002236481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000324283,"about_ca_topic_score_gemma":0.0001467323,"domain_scores_codex":[0.998944,0.00003715263,0.0002052312,0.0004008483,0.0002054795,0.0002072437],"domain_scores_gemma":[0.9982855,0.00005982015,0.00009480061,0.001143992,0.000374004,0.00004184841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003561657,0.00002482209,0.003125813,0.00002483584,0.000003972487,0.000003618616,0.0004652069,0.000002187688,0.0006367333,0.9780686,0.001185147,0.01645543],"study_design_scores_gemma":[0.000868735,0.0002351238,0.01081202,0.0003520554,0.00001672176,0.0000342637,0.0006198667,0.0609118,0.01675909,0.5942078,0.3139657,0.001216814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01419915,0.002657952,0.9159897,0.0114335,0.002378118,0.001391917,0.0001410158,0.002995543,0.04881313],"genre_scores_gemma":[0.7011206,0.00003634695,0.2970717,0.0001474527,0.00003908039,0.000009724028,0.0001086709,0.000005953575,0.001460528],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6869214,"threshold_uncertainty_score":0.397972,"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."}}