{"id":"W4390958031","doi":"10.56521/manajemen-dirgantara.v16i1.839","title":"CLUSTERING SEGMENTASI PASAR PENERBANGAN BANDARA HUSEIN SASTRANEGARA – BANDUNG MENGGUNAKAN INFORMASI PENERBANGAN","year":2023,"lang":"id","type":"article","venue":"Jurnal Manajemen Dirgantara","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Cluster analysis; Humanities; Computer science; Artificial intelligence; Philosophy","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":["metaepi_narrow"],"category_scores_codex":[0.001452392,0.001689566,0.001940121,0.001462274,0.0008713274,0.000783139,0.001443029,0.0006328404,0.0007646118],"category_scores_gemma":[0.00003386221,0.00182133,0.001088948,0.002813127,0.000151493,0.001423085,0.0003219156,0.001553397,0.001358305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009331322,"about_ca_system_score_gemma":0.0002130496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007953096,"about_ca_topic_score_gemma":0.00421721,"domain_scores_codex":[0.9910668,0.0002183513,0.002728926,0.001298548,0.002004998,0.002682411],"domain_scores_gemma":[0.9964638,0.0001484291,0.0006065752,0.001526966,0.0002138907,0.001040305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001439751,0.001505765,0.2153965,0.0215489,0.03176025,0.01913285,0.05902867,0.3570289,0.1651917,0.00213197,0.07869572,0.04713904],"study_design_scores_gemma":[0.01264313,0.001363126,0.2154355,0.004421383,0.006271589,0.0006273686,0.008062724,0.1877163,0.03039603,0.00007289213,0.5234384,0.009551527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969575,0.002644854,0.002889978,0.001053911,0.003886304,0.001748125,0.0002148194,0.002349009,0.015638],"genre_scores_gemma":[0.9742871,0.001735623,0.0003614022,0.000264943,0.001349496,0.0001079155,0.0008208677,0.0005183818,0.02055427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4447427,"threshold_uncertainty_score":0.9995851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300493645883991,"score_gpt":0.2159209124119869,"score_spread":0.202915975953147,"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."}}