{"id":"W4239917916","doi":"10.1515/iupac.83.0451","title":"Scheduling Software","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Computer science; Field (mathematics); Data science; Multidisciplinary approach; Context (archaeology); Process (computing); Software; Management science; Engineering; Sociology; Biology; Linguistics; Programming language","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":[0.002359152,0.003008106,0.001580076,0.003222919,0.001015371,0.002802815,0.004365013,0.001581007,0.05990137],"category_scores_gemma":[0.0110147,0.00102094,0.002377871,0.00618666,0.0005070026,0.002123225,0.001702734,0.002813294,0.109245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002031935,"about_ca_system_score_gemma":0.003639378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01525756,"about_ca_topic_score_gemma":0.03026271,"domain_scores_codex":[0.9977481,0.0003995663,0.0003687489,0.0006793595,0.0005757406,0.0002284665],"domain_scores_gemma":[0.9954351,0.001250084,0.0003254965,0.00180755,0.000926055,0.0002557196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000136273,0.00004680442,0.0007744753,0.0005509571,0.00003840178,0.00001723715,0.00002288243,0.002510489,0.0001365625,0.001553813,0.9839194,0.01029261],"study_design_scores_gemma":[0.0004816045,0.00004339453,0.002195038,0.0002444123,0.00003654175,0.00008731127,0.00005639886,0.01085208,0.001092072,0.008658355,0.9762058,0.00004684082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006167511,0.0002030372,0.002442266,0.0001690288,0.0001001998,0.00009430012,0.9816591,0.01111474,0.003600587],"genre_scores_gemma":[0.0009740471,0.0001269987,0.003444666,0.00009392388,0.00001224326,0.000239886,0.9934419,0.0006944637,0.000971798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05990137,"threshold_uncertainty_score":0.20039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081816398983383,"score_gpt":0.3328602081829691,"score_spread":0.3220420441931353,"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."}}