{"id":"W2917655874","doi":"10.48550/arxiv.1902.07093","title":"Analysis and Detection of Information Types of Open Source Software Issue Discussions","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Task (project management); Sentence; Software; Data science; World Wide Web; Artificial intelligence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005925511,0.0005104995,0.0004548064,0.00994788,0.001405909,0.001843894,0.0007060001,0.0008682784,0.001131896],"category_scores_gemma":[0.04432345,0.0003618232,0.0004462422,0.004790495,0.0009402134,0.003116959,0.002104277,0.001014559,0.0005416467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334548,"about_ca_system_score_gemma":0.001412936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002512692,"about_ca_topic_score_gemma":0.00373624,"domain_scores_codex":[0.9918603,0.003942327,0.0008491612,0.001167748,0.001792866,0.0003875483],"domain_scores_gemma":[0.9205874,0.05710108,0.009120053,0.002315552,0.009777355,0.001098482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001740775,0.0005908675,0.2916124,0.005144821,0.0001773862,0.002494435,0.174912,0.00213923,0.1239707,0.01190387,0.01530903,0.3700044],"study_design_scores_gemma":[0.0001157496,0.0007229514,0.5911618,0.001375523,0.0003460346,0.003192942,0.08909117,0.1036439,0.0844276,0.01697045,0.1085288,0.0004229694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488331,0.0007878864,0.03894522,0.0007009793,0.0001204986,0.000589037,0.004921819,0.0006624436,0.004439057],"genre_scores_gemma":[0.9114016,0.0005096339,0.07530266,0.0002100946,0.0001673027,0.001002651,0.00855052,0.0002338291,0.002621686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00994788,"threshold_uncertainty_score":0.03133744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060041898479302,"score_gpt":0.2068676100118813,"score_spread":0.1762671910270883,"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."}}