{"id":"W3120511988","doi":"","title":"Modelling and Verification of Compatibility of Component Composition","year":2004,"lang":"en","type":"other","venue":"Memorial University Research Repository (Memorial University)","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compatibility (geochemistry); Computer science; Petri net; Component (thermodynamics); Programming language; Theoretical computer science; Set (abstract data type); Algorithm; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001023079,0.0003333053,0.0008296169,0.002050199,0.0004012228,0.00006691856,0.002084388,0.00052664,0.00001432815],"category_scores_gemma":[0.00003052453,0.0004267165,0.0002013901,0.001585915,0.0007685483,0.0004907463,0.001093352,0.0006158256,0.000006350147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006832,"about_ca_system_score_gemma":0.0008612602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007883083,"about_ca_topic_score_gemma":0.00006805341,"domain_scores_codex":[0.9955209,0.001240462,0.0004449766,0.001008187,0.001339634,0.0004458101],"domain_scores_gemma":[0.9967047,0.0003023389,0.0006976753,0.001294106,0.0007448232,0.0002563749],"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":[0.009649697,0.004927987,0.001210117,0.009345631,0.002900994,0.003179814,0.009892836,0.2122924,0.1237347,0.5814409,0.03779231,0.003632605],"study_design_scores_gemma":[0.03473913,0.003834513,0.0003668741,0.01044852,0.001137813,0.0001990697,0.005149078,0.4648999,0.07853563,0.003190203,0.3920401,0.005459194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06746642,0.0004410323,0.559218,0.00008681146,0.008862168,0.002586521,0.0002090471,0.0005674711,0.3605625],"genre_scores_gemma":[0.9280767,0.0004260271,0.02341234,0.00000192285,0.001710864,4.968191e-7,0.00007178316,0.000149928,0.04614992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8606103,"threshold_uncertainty_score":0.9998184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04796937265302466,"score_gpt":0.2619330427342637,"score_spread":0.2139636700812391,"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."}}