{"id":"W7100940568","doi":"","title":"University of Alberta PLACEHOLDER SCHEDULING FOR OVERLAY METACOMPUTING","year":2008,"lang":"en","type":"article","venue":"","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metacomputing; Scheduling (production processes); Overlay; Software; Job shop scheduling; Schedule; Batch processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009555375,0.0006240151,0.0005986274,0.0009654633,0.001697151,0.002564599,0.001807519,0.000765079,0.0309183],"category_scores_gemma":[0.002428844,0.0003955818,0.0004334653,0.001586405,0.0006124871,0.001313502,0.001544153,0.0009615119,0.007290413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004033729,"about_ca_system_score_gemma":0.005970788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07918712,"about_ca_topic_score_gemma":0.1034256,"domain_scores_codex":[0.9990723,0.0001416667,0.0000375407,0.0001535562,0.0003996128,0.0001952893],"domain_scores_gemma":[0.9983153,0.000372853,0.00007529917,0.0003857228,0.0004182264,0.0004325216],"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":[0.001531074,0.0003294271,0.00282357,0.0004773035,0.00005872776,0.0006387986,0.0003359831,0.1977711,0.01574499,0.1613532,0.195773,0.4231629],"study_design_scores_gemma":[0.000190605,0.0001253519,0.001844984,0.0001009389,0.00003034836,0.0002845732,0.0002693885,0.6017861,0.008179615,0.04886589,0.3382334,0.00008888749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06532446,0.005781133,0.6525558,0.004265326,0.002719149,0.0006345373,0.002210121,0.01783367,0.2486759],"genre_scores_gemma":[0.3925315,0.003072624,0.4530608,0.0003995341,0.000422861,0.0003217184,0.003398327,0.002090901,0.1447016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07918712,"threshold_uncertainty_score":0.1574524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05700783359113525,"score_gpt":0.2053583920740807,"score_spread":0.1483505584829455,"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."}}