{"id":"W3094666788","doi":"","title":"PERANCANGAN PERANGKAT LUNAK VISUALISASI ALGORITMA GREEDY","year":2019,"lang":"id","type":"article","venue":"","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Greedy algorithm; Visualization; Software; Greedy randomized adaptive search procedure; Theoretical computer science; Computer graphics (images); Algorithm; Data mining; 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":[0.0007735367,0.001482292,0.0008423762,0.001372638,0.0005876925,0.003232314,0.001075866,0.000922897,0.04216791],"category_scores_gemma":[0.002115909,0.0005138122,0.0009665066,0.001305652,0.0006699855,0.002542571,0.001327953,0.001150503,0.0116015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008233214,"about_ca_system_score_gemma":0.001082594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002044739,"about_ca_topic_score_gemma":0.001693154,"domain_scores_codex":[0.9993869,0.0001668644,0.00004916581,0.0001549761,0.0001763406,0.00006569921],"domain_scores_gemma":[0.9994727,0.0001989035,0.0000374932,0.00008248515,0.0001815032,0.00002695079],"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":[0.0006631315,0.00008923562,0.00121116,0.001238618,0.0001073956,0.0003105888,0.0008337191,0.06696337,0.02977717,0.0852011,0.06406108,0.7495435],"study_design_scores_gemma":[0.0001873402,0.0001877222,0.001182902,0.0003935721,0.0001081336,0.001129689,0.0004910291,0.460947,0.03430257,0.08888322,0.4120249,0.0001618687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006683758,0.001141492,0.9418355,0.0008463779,0.0002073272,0.0001471713,0.0004461349,0.01561025,0.03308189],"genre_scores_gemma":[0.09045205,0.001794529,0.8788877,0.0002678167,0.00006946541,0.0004968372,0.000992383,0.002958513,0.02408079],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04216791,"threshold_uncertainty_score":0.1410657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350293390368072,"score_gpt":0.2561007268790171,"score_spread":0.2425977929753364,"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."}}