{"id":"W1892184140","doi":"10.1109/ccece.1993.332460","title":"Designing parallel specifications in CCS","year":2002,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asynchronous communication; Computer science; Operator (biology); Programming language; Style (visual arts); Composition (language); Theoretical computer science; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.0001335766,0.00006043321,0.00006722072,0.0001255308,0.00006018536,0.00008009582,0.0004646319,0.00002974088,0.00007410152],"category_scores_gemma":[0.00002087888,0.00005808556,0.00002048479,0.0004209622,0.00001272211,0.0002067442,0.00006657124,0.00006867535,0.0001368433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002019388,"about_ca_system_score_gemma":0.000005768952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008896254,"about_ca_topic_score_gemma":0.000002794608,"domain_scores_codex":[0.999374,0.00003717192,0.0001552679,0.0001953202,0.00009086332,0.000147377],"domain_scores_gemma":[0.9995485,0.00005004837,0.00003154266,0.0003081027,0.00002648342,0.00003534559],"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":[0.000001631525,0.0004265522,0.004342109,0.000007304937,0.000009070302,0.00002704407,0.00264845,0.08476997,0.0005097713,0.7547637,0.08702676,0.06546759],"study_design_scores_gemma":[0.0001370704,0.00001558556,0.001127487,0.000007568924,3.883198e-7,0.00000526373,0.000009736474,0.9895781,0.000737928,0.003832762,0.004422205,0.0001258478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001135397,0.00008142072,0.9255607,0.001039507,0.00003380968,0.0000639492,5.1217e-8,0.0004917757,0.07261527],"genre_scores_gemma":[0.2533323,0.00005087505,0.7446949,0.0002173609,0.00001244179,0.000008252151,3.238675e-7,0.000002846695,0.00168064],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9048082,"threshold_uncertainty_score":0.236866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08192230864668257,"score_gpt":0.2603679336096349,"score_spread":0.1784456249629523,"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."}}