{"id":"W4224304405","doi":"10.24843/jmat.2021.v11.i02.p140","title":"Pemanfaatan Big Data dalam Monitoring Pola Aktivitas Aviasi di Indonesia","year":2022,"lang":"en","type":"article","venue":"Jurnal Matematika","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; Tourism; Big data; Productivity; Quarter (Canadian coin); Descriptive statistics; Business; Computer science; Engineering; Economics; Geography; Statistics; Mathematics; Economic growth; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005995276,0.000401692,0.0002910169,0.00239755,0.0003831455,0.001648172,0.0003290432,0.000305602,0.002436227],"category_scores_gemma":[0.001246389,0.0001514465,0.00032343,0.003099078,0.0001974428,0.001224629,0.0007032463,0.0007369589,0.001214877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000704788,"about_ca_system_score_gemma":0.001207751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00984272,"about_ca_topic_score_gemma":0.01193406,"domain_scores_codex":[0.9994437,0.00007227503,0.00007650644,0.0001024039,0.0002419471,0.00006312459],"domain_scores_gemma":[0.9987156,0.0002623697,0.0002638829,0.0001145881,0.0005246019,0.0001190858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005324851,0.0005431293,0.6744034,0.001218782,0.0002892403,0.001674619,0.001023098,0.01238199,0.006574561,0.004033399,0.06560528,0.2317201],"study_design_scores_gemma":[0.0000327759,0.0001835099,0.8104885,0.000444144,0.0001503732,0.000723051,0.003451433,0.06452746,0.01549857,0.002387615,0.1020293,0.00008325937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8443012,0.002770349,0.01085734,0.003291992,0.0004499112,0.000374385,0.09290477,0.001085602,0.04396454],"genre_scores_gemma":[0.9386443,0.001771033,0.006825065,0.0001826389,0.0001182574,0.0001859024,0.04388349,0.00006703045,0.008322338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00984272,"threshold_uncertainty_score":0.01957089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06176821490968058,"score_gpt":0.2987842646041334,"score_spread":0.2370160496944528,"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."}}