{"id":"W1964758092","doi":"10.1016/s0304-3975(99)00085-7","title":"Semantic distance between specifications","year":2000,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Software Engineering Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"","keywords":"Computer science; Reuse; Programming language; Semantic similarity; Semantic computing; Software; Software engineering; Theoretical computer science; Information retrieval; Semantic Web; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001021122,0.0001499917,0.0001643393,0.000165384,0.0003828199,0.0005216801,0.003765197,0.00003728705,0.0002490679],"category_scores_gemma":[0.0001605023,0.0001323889,0.00004934419,0.002045071,0.001894577,0.0006289231,0.0004426033,0.0002388249,0.0009545272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007810597,"about_ca_system_score_gemma":0.00009849158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002033271,"about_ca_topic_score_gemma":1.304154e-7,"domain_scores_codex":[0.9974107,0.00005820632,0.0002290218,0.0007302928,0.000896604,0.0006752202],"domain_scores_gemma":[0.9973863,0.0007993878,0.00002119894,0.001327318,0.0001198402,0.000345922],"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":[9.947522e-7,0.00002074515,0.001009218,0.00000356837,0.000002073326,0.000007151777,0.0001390811,0.0001555786,0.00003105132,0.8213228,0.00007722026,0.1772305],"study_design_scores_gemma":[0.0004075917,0.0002550437,0.1971934,0.00008020236,0.000007731647,0.00005075786,0.000002787574,0.5751271,0.003017408,0.211533,0.01147346,0.0008515342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05378791,0.00002359639,0.9408744,0.001052859,0.0001830203,0.0001266249,0.000001738998,0.0004973153,0.003452514],"genre_scores_gemma":[0.8835288,0.000007313515,0.1161019,0.00008655046,0.0001721046,0.000007005329,6.84797e-7,0.000008145918,0.00008753812],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8297408,"threshold_uncertainty_score":0.9998233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317976248684402,"score_gpt":0.2687739268575994,"score_spread":0.2455941643707553,"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."}}