{"id":"W2021649182","doi":"10.5267/j.ijiec.2010.08.007","title":"Hat and squeeze functions, a way for making precise algorithms","year":2011,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Computer science; Mathematical optimization; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002880733,0.00114543,0.0009285401,0.001249095,0.0009065999,0.001865481,0.001055406,0.001330647,0.004606576],"category_scores_gemma":[0.01105827,0.000720736,0.001086037,0.001227386,0.00273805,0.005192569,0.001917041,0.0037724,0.001709766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363886,"about_ca_system_score_gemma":0.0009056321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009471104,"about_ca_topic_score_gemma":0.0007217168,"domain_scores_codex":[0.9980855,0.0006729464,0.0001503033,0.0002840638,0.0007030817,0.0001041431],"domain_scores_gemma":[0.9966832,0.001658228,0.0002154678,0.0009058469,0.0004554059,0.00008192136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003423368,0.00006053582,0.0008381919,0.0001887412,0.0001059063,0.0001627884,0.0003471941,0.1068583,0.01406887,0.6908565,0.004617315,0.1815533],"study_design_scores_gemma":[0.00007966846,0.0002636487,0.0003596407,0.00007309603,0.00006544217,0.0004104367,0.00006924356,0.6501545,0.02265067,0.2848494,0.04091724,0.0001069133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001088808,0.0001445497,0.9975728,0.0001117508,0.00005694132,0.00001582854,0.00001097717,0.0001953966,0.0008030109],"genre_scores_gemma":[0.1184644,0.0008918063,0.8735883,0.0004798512,0.0002511308,0.0001829047,0.00008951587,0.0004328994,0.00561908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004606576,"threshold_uncertainty_score":0.01541054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0587628926795012,"score_gpt":0.2773591831605728,"score_spread":0.2185962904810717,"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."}}