{"id":"W203320341","doi":"","title":"Design and Implementation of Demand Migration Systems in GIPSY.","year":2008,"lang":"en","type":"article","venue":"Parallel and Distributed Processing Techniques and Applications","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","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":[0.0006483792,0.0003662015,0.0002545083,0.0002751721,0.0003809653,0.001083506,0.001757266,0.0006028558,0.00509702],"category_scores_gemma":[0.00135173,0.0003096584,0.0002915902,0.0002245142,0.0003098427,0.0006738565,0.0007243718,0.0006471672,0.001642723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000615747,"about_ca_system_score_gemma":0.001151557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268214,"about_ca_topic_score_gemma":0.003669689,"domain_scores_codex":[0.9996209,0.0001142138,0.00002360159,0.00005835364,0.0001099518,0.00007287523],"domain_scores_gemma":[0.9995999,0.00008188864,0.00003217834,0.0001208259,0.0001253906,0.00003993972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002158516,0.0008908007,0.01192776,0.00146795,0.0003166172,0.001308432,0.001577512,0.2132693,0.2790648,0.0789253,0.0479025,0.3611906],"study_design_scores_gemma":[0.0005760317,0.001104355,0.004497183,0.0001193526,0.0002087114,0.0004977853,0.0003568219,0.6872355,0.169122,0.0160193,0.1201939,0.00006896041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1420552,0.0005556028,0.8038209,0.0007446062,0.0002432807,0.001073795,0.0005836571,0.01568677,0.03523626],"genre_scores_gemma":[0.5883893,0.0003371272,0.3912935,0.0003686318,0.00004369065,0.0006880164,0.001343726,0.0009688495,0.01656711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00509702,"threshold_uncertainty_score":0.01705128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253096523881279,"score_gpt":0.2836064526009799,"score_spread":0.2610754873621672,"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."}}