{"id":"W7132393946","doi":"","title":"SWRL : Un langage de règles du Web sémantique combinant OWL et RuleML","year":2004,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RuleML; Semantic Web Rule Language; Syntax; Web Ontology Language; OWL-S; XML; Semantic Web; Abstract syntax","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004185884,0.001151215,0.001015704,0.001879476,0.001045007,0.006210397,0.002317644,0.001540929,0.009978627],"category_scores_gemma":[0.005276476,0.001586614,0.0015318,0.00173587,0.001690706,0.006814886,0.001810819,0.003503307,0.0110207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009636185,"about_ca_system_score_gemma":0.002291158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009232,"about_ca_topic_score_gemma":0.006827256,"domain_scores_codex":[0.9963346,0.0006722368,0.0004027064,0.0005322425,0.001927428,0.0001308062],"domain_scores_gemma":[0.9975915,0.0007129814,0.0001382158,0.0007537489,0.0006642885,0.0001392626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002544546,0.0003403508,0.0007623458,0.0006142104,0.0001228304,0.001146517,0.001164151,0.01090606,0.01989352,0.4305794,0.117105,0.4171111],"study_design_scores_gemma":[0.0001587588,0.00007894105,0.0003706937,0.0001566235,0.00005789596,0.0008162463,0.0001475466,0.07327643,0.02272813,0.07643456,0.8256645,0.0001096166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001736762,0.000214658,0.9575805,0.0005047661,0.0002826646,0.0002609818,0.001039199,0.02292256,0.01545788],"genre_scores_gemma":[0.02751838,0.001188406,0.8960544,0.0008770899,0.0003137205,0.0006512493,0.01179699,0.01039688,0.05120282],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009978627,"threshold_uncertainty_score":0.03338182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009272216739365175,"score_gpt":0.2438739662583505,"score_spread":0.2346017495189853,"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."}}