{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008124885,0.000464348,0.0005752546,0.0003484233,0.0002211728,0.0003627822,0.002160543,0.0005073902,0.001658215],"category_scores_gemma":[0.00007688519,0.000444944,0.0002370255,0.0009632965,0.0001893932,0.0008493232,0.0006265732,0.0005264686,0.02264411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095715,"about_ca_system_score_gemma":0.0002917509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004062787,"about_ca_topic_score_gemma":0.0001096201,"domain_scores_codex":[0.9961224,0.0002511576,0.0006697295,0.001203112,0.0009449985,0.0008085723],"domain_scores_gemma":[0.9972222,0.0002489724,0.0002221807,0.00172156,0.0003760263,0.0002089943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000308791,0.0006493744,0.06795039,0.0003968618,0.0004285601,0.0001566915,0.007166941,0.00004764982,0.0202919,0.820196,0.03599188,0.04669289],"study_design_scores_gemma":[0.006146178,0.002201731,0.05943017,0.0007830873,0.0001291947,0.001203054,0.004104842,0.3374666,0.02317877,0.005713404,0.5553829,0.004260104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8123416,0.002478593,0.03010866,0.01420755,0.01098966,0.002151704,0.00002390798,0.001783156,0.1259151],"genre_scores_gemma":[0.8423005,0.00003892756,0.01014281,0.001456289,0.0004465006,0.0000366413,0.00001384542,0.00005065186,0.1455138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8144826,"threshold_uncertainty_score":0.9998002,"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."}}