{"id":"W2293474702","doi":"10.1007/978-3-319-29510-7_5","title":"Towards a Body of Knowledge in Formal Methods for the Railway Domain: Identification of Settled Knowledge","year":2016,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Identification (biology); Construct (python library); Computer science; Normative; Domain (mathematical analysis); Domain knowledge; Body of knowledge; Domain analysis; Formal methods; Data science; Artificial intelligence; Knowledge management; Epistemology; Software engineering; Mathematics; Software development; Programming language; Software; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004942521,0.0001741526,0.0003553377,0.0009306896,0.0002416957,0.0001216116,0.004094189,0.000123735,0.000002232953],"category_scores_gemma":[0.000171338,0.0001221377,0.0000849628,0.0004988257,0.00119782,0.00353911,0.002039894,0.0001836197,0.000006341194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009248639,"about_ca_system_score_gemma":0.0004623934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007895393,"about_ca_topic_score_gemma":0.00001990081,"domain_scores_codex":[0.9980633,0.00009388695,0.0012016,0.0002168835,0.0002011864,0.0002231508],"domain_scores_gemma":[0.9951139,0.00148902,0.0006854029,0.001990924,0.0006822416,0.0000384941],"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":[0.000003600011,0.00001670712,0.00001235961,0.00005461228,0.000005169258,1.181445e-8,0.002962286,0.000007965686,0.00006169016,0.5957361,0.0000299226,0.4011095],"study_design_scores_gemma":[0.001728785,0.0002193894,0.01121772,0.0008287459,0.00002644963,0.00001564328,0.0002400465,0.7189965,0.001786647,0.124563,0.1398038,0.0005732976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007090101,0.001575029,0.9517641,0.0007104116,0.000359157,0.0006248237,0.00001451963,0.00002478451,0.04485629],"genre_scores_gemma":[0.2922982,0.004072546,0.7020314,0.000173016,0.00005748824,0.0002317489,0.00001987838,0.00001558566,0.001100183],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7189885,"threshold_uncertainty_score":0.760809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05883371433470835,"score_gpt":0.375358088152116,"score_spread":0.3165243738174076,"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."}}