{"id":"W2602639004","doi":"10.1108/bpmj-03-2016-0061","title":"Business process point analysis: survey experiments","year":2017,"lang":"en","type":"article","venue":"Business Process Management Journal","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Originality; Business process; Process (computing); Measure (data warehouse); Function point; Similarity (geometry); Business Process Model and Notation; Point (geometry); Process management; Business process management; Function (biology); Business process modeling; Knowledge management; Data mining; Work in process; Operations management; Engineering; Artificial intelligence; Mathematics; Qualitative research; Software; Software development","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":[0.02110493,0.0007823801,0.000902447,0.001742391,0.001016488,0.001404966,0.0008647862,0.001592003,0.004944053],"category_scores_gemma":[0.05143049,0.0005958538,0.0006005708,0.001598864,0.0007836221,0.002372143,0.001184207,0.001137408,0.001604341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023191,"about_ca_system_score_gemma":0.001332516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007819176,"about_ca_topic_score_gemma":0.0007240267,"domain_scores_codex":[0.9795678,0.01377744,0.001676978,0.001528641,0.002355338,0.001093834],"domain_scores_gemma":[0.8738062,0.09880081,0.005667645,0.005608342,0.01437621,0.001740769],"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":[0.01060838,0.1096841,0.3857908,0.004393504,0.0004338754,0.0008566084,0.05658275,0.009768204,0.01810061,0.005623133,0.01069867,0.3874595],"study_design_scores_gemma":[0.008705215,0.210211,0.5239031,0.001403576,0.001011962,0.001288021,0.08128499,0.04945822,0.04453317,0.008679458,0.0687831,0.000738181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846807,0.00008025883,0.007850797,0.0001336385,0.00002820398,0.003451323,0.0005225568,0.0001135398,0.003138919],"genre_scores_gemma":[0.9642198,0.0002567391,0.02184911,0.0003027512,0.00006202257,0.01049424,0.0008463845,0.00004020247,0.001928811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02110493,"threshold_uncertainty_score":0.1116149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0428234503130132,"score_gpt":0.3042572406130246,"score_spread":0.2614337903000114,"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."}}