{"id":"W2084429969","doi":"10.1145/2676723.2677299","title":"MiniOS","year":2015,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Curriculum; Engineering management; Software engineering; Engineering","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":[0.0001230627,0.00002936198,0.00003252129,0.00002940023,0.00001595861,0.00004768286,0.0003251273,0.00001405067,0.000003835425],"category_scores_gemma":[0.00002164108,0.00002419053,0.00001045185,0.0001213579,0.000005689125,0.0001218801,0.00009377044,0.00001963755,0.00009438992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007444463,"about_ca_system_score_gemma":0.00002776203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005219514,"about_ca_topic_score_gemma":2.422066e-7,"domain_scores_codex":[0.9996949,0.00001387156,0.00005223799,0.00009062356,0.00008083104,0.00006752536],"domain_scores_gemma":[0.9996762,0.00000957341,0.00001269402,0.0001921118,0.00004897413,0.00006047161],"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":[0.000001178692,0.00004234096,0.0005305018,0.000001263376,0.000003856934,0.000006295678,0.0005685982,0.002698882,0.00002205575,0.5364758,0.4219384,0.03771082],"study_design_scores_gemma":[0.0002121592,0.00007087033,0.0001472834,0.000003060118,5.359672e-7,0.00001575825,0.00001331316,0.881033,0.003497723,0.02320382,0.09164971,0.0001527621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001761894,0.00001751172,0.8695755,0.0006169971,0.00007943124,0.00001862565,2.004574e-8,0.0006918021,0.1288239],"genre_scores_gemma":[0.2088538,0.000001046748,0.7881387,0.0005547267,0.00001826206,0.000001521629,2.245907e-7,0.000001424352,0.002430302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8783341,"threshold_uncertainty_score":0.1213223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04282691821600027,"score_gpt":0.2782192044708096,"score_spread":0.2353922862548093,"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."}}