{"id":"W2001390679","doi":"10.4018/jcini.2008040106","title":"Deductive Semantics of RTPA","year":2008,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Well-founded semantics; Computer science; Action semantics; Programming language; Operational semantics; Denotational semantics; Computational semantics; Formal semantics (linguistics); Semantics (computer science)","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":[0.004087582,0.0006917894,0.0006666772,0.001419137,0.001507168,0.003924305,0.001444191,0.001443926,0.003634389],"category_scores_gemma":[0.006056198,0.0004791492,0.001766929,0.001011584,0.007417994,0.008338136,0.002518658,0.002901167,0.001169301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180063,"about_ca_system_score_gemma":0.002168963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756468,"about_ca_topic_score_gemma":0.0009523315,"domain_scores_codex":[0.9956415,0.001507765,0.0004107829,0.0007901035,0.001307097,0.0003427366],"domain_scores_gemma":[0.9962425,0.001500097,0.000267747,0.0006430889,0.001215924,0.0001307382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009603661,0.000009820366,0.00004006788,0.00003373249,0.000005352068,0.00007039512,0.0003648287,0.001024663,0.0004583912,0.9938484,0.0004334406,0.003701403],"study_design_scores_gemma":[0.0000217545,0.00001989289,0.00003394755,0.00002311148,0.00001357047,0.0001137518,0.00008324233,0.008346655,0.001194297,0.9697506,0.02038511,0.00001410087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01069591,0.0007176235,0.9491943,0.00147716,0.0002787488,0.0001405923,0.0002529225,0.00092537,0.03631742],"genre_scores_gemma":[0.5517488,0.001578683,0.4266087,0.001811539,0.000686736,0.0006896819,0.0007799673,0.0006208978,0.01547502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004087582,"threshold_uncertainty_score":0.02161747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199850913634067,"score_gpt":0.2838021070791773,"score_spread":0.2638170157157706,"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."}}