{"id":"W4299434809","doi":"","title":"In and Out of SSA : a Denotational Specification","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Denotational semantics of the Actor model; Computer science; Denotational semantics; Programming language; Semantics (computer science); Operational semantics","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":[0.003677662,0.001286485,0.001200729,0.001102747,0.001759155,0.005401205,0.001611669,0.001850959,0.01125097],"category_scores_gemma":[0.00472528,0.001686641,0.002173361,0.001094695,0.004526089,0.008506568,0.003859593,0.003268041,0.00250954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009974289,"about_ca_system_score_gemma":0.001778403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001959806,"about_ca_topic_score_gemma":0.002246654,"domain_scores_codex":[0.9962107,0.001489257,0.0005648133,0.000541569,0.000742019,0.0004516957],"domain_scores_gemma":[0.9947959,0.00286945,0.0002714258,0.0009669714,0.0009117791,0.0001844313],"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":[0.0001781868,0.00004752362,0.001087074,0.0002920975,0.0000380248,0.0004325804,0.003200515,0.005387279,0.006099852,0.9613981,0.002191297,0.01964753],"study_design_scores_gemma":[0.00008961808,0.0001688008,0.0006244831,0.0001716248,0.0002862464,0.0005593332,0.001237074,0.0655153,0.0231335,0.8362045,0.07190192,0.0001077069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01705763,0.0001456424,0.9644599,0.000472704,0.0001404705,0.0001263331,0.0004466081,0.002509525,0.0146413],"genre_scores_gemma":[0.6623915,0.0004011284,0.3179638,0.0003792846,0.0003064544,0.0004257056,0.0009337035,0.003652255,0.01354603],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01125097,"threshold_uncertainty_score":0.03763825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841806469163362,"score_gpt":0.234170263659333,"score_spread":0.2157521989676994,"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."}}