{"id":"W4285202524","doi":"10.2139/ssrn.4104453","title":"Data Analysis of Software Data and Their Interpretation a Framework of Information Granules","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpretation (philosophy); Computer science; Software; Data mining; Information retrieval; Data science; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.00487221,0.0008068625,0.001199813,0.00631339,0.0008808664,0.008450348,0.001017895,0.000844867,0.001412852],"category_scores_gemma":[0.01925081,0.0004240297,0.001641535,0.005611689,0.002549941,0.004960875,0.002130758,0.001348761,0.0002411707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198848,"about_ca_system_score_gemma":0.001771461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847293,"about_ca_topic_score_gemma":0.000856169,"domain_scores_codex":[0.99567,0.001636377,0.0007638697,0.0005731618,0.001198239,0.0001584341],"domain_scores_gemma":[0.990379,0.00627119,0.0009459318,0.001112474,0.001110457,0.0001808955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003089682,0.0001236987,0.005517937,0.000903709,0.0002601015,0.000677732,0.004166075,0.0345203,0.007981832,0.7691637,0.002881771,0.1734943],"study_design_scores_gemma":[0.00004194577,0.0001106482,0.004312302,0.0003017333,0.0001543997,0.0002794493,0.001350545,0.1557189,0.004117937,0.8227087,0.01082551,0.00007793157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0287501,0.0006680448,0.9650671,0.0008067663,0.00005150048,0.0003329444,0.0007431461,0.0004454643,0.003134747],"genre_scores_gemma":[0.4163155,0.0008229136,0.5804309,0.0001154137,0.00009569358,0.0007166718,0.0007739967,0.00006776785,0.0006610922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008450348,"threshold_uncertainty_score":0.02576697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538727949846176,"score_gpt":0.2555540022247004,"score_spread":0.2401667227262387,"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."}}