{"id":"W6968790405","doi":"10.5281/zenodo.3789004","title":"Sesiini","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Canadian Food Inspection Agency; Royal Alberta Museum; Calgary Laboratory Services; Natural Resources Canada","funders":"","keywords":"Term (time); Crown (dentistry); Selection (genetic algorithm); Head (geology)","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":[0.0001031494,0.0005592675,0.0003992684,0.0008645143,0.001035993,0.0006881669,0.000411327,0.0003025805,0.04411139],"category_scores_gemma":[0.0002049475,0.0002146205,0.0003166442,0.0006574656,0.000295373,0.0004797454,0.001197681,0.0007368877,0.02513535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008811699,"about_ca_system_score_gemma":0.0005926735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008819458,"about_ca_topic_score_gemma":0.02073422,"domain_scores_codex":[0.9998356,0.000007214519,0.00001352157,0.00005804223,0.0000562658,0.00002939233],"domain_scores_gemma":[0.9998696,0.00000544971,0.00001981178,0.00001606486,0.00006117811,0.00002792273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008706834,0.0001886028,0.02666029,0.000790164,0.00008632393,0.002211426,0.001525675,0.00118846,0.2071805,0.02397152,0.09596631,0.6393601],"study_design_scores_gemma":[0.00002864071,0.0001565687,0.03496771,0.00007876193,0.00002634976,0.001314791,0.0004614473,0.0002141741,0.006734675,0.0008557541,0.9551433,0.00001774517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1270733,0.003148145,0.008197729,0.0007092683,0.001249373,0.0002327457,0.00598883,0.001002971,0.8523977],"genre_scores_gemma":[0.4393774,0.002409108,0.01001473,0.001196466,0.0002146282,0.0001773081,0.02203548,0.0005733405,0.5240015],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04411139,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531260544712225,"score_gpt":0.2398158224236078,"score_spread":0.2145032169764856,"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."}}