{"id":"W3112379532","doi":"10.29173/writingacrossuofa9","title":"Welcome to the Inaugural Issue of Writing across the University of Alberta","year":2020,"lang":"en","type":"article","venue":"Writing across the University of Alberta","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009333561,0.0001495865,0.0002812034,0.00002398781,0.002659244,0.0002197269,0.00250915,0.00006772153,0.0003966107],"category_scores_gemma":[0.000441195,0.0001103211,0.00019266,0.0002017481,0.001064318,0.0006218819,0.001086765,0.0004670235,0.0000554149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003818987,"about_ca_system_score_gemma":0.00004616913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07147158,"about_ca_topic_score_gemma":0.04776567,"domain_scores_codex":[0.9986154,0.0002985336,0.0002617352,0.0002173973,0.000285968,0.0003210083],"domain_scores_gemma":[0.9971954,0.001295278,0.0003632936,0.0007348966,0.0003325826,0.00007856405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001786741,0.00007307372,0.003859878,0.00009795604,0.0001482916,0.000002313571,0.9506111,0.0003070164,0.0003504488,0.02263823,0.01916195,0.002571058],"study_design_scores_gemma":[0.0005418204,0.0001044455,0.006290482,0.0001396383,0.0000589656,0.000002518326,0.4962762,0.0007882706,0.000169785,0.00007339779,0.4953717,0.0001828285],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191154,0.0001404867,0.00003139382,0.05357271,0.0001115462,0.0002117888,0.00009210932,0.00002317289,0.02670138],"genre_scores_gemma":[0.9913524,0.0000286657,0.00006432681,0.0005536681,0.0001813145,1.105604e-7,0.00001725678,0.00001225679,0.007789957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4762097,"threshold_uncertainty_score":0.9986392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700688587687702,"score_gpt":0.23121054253586,"score_spread":0.204203656658983,"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."}}