{"id":"W7084675199","doi":"10.53625/juremi.v4i2.8665","title":"OPTIMALISASI DUKUNGAN SEKTOR PERHUBUNGAN PADA KAWASAN INDUSTRI TERPADU BATANG (KITB)","year":2024,"lang":"id","type":"article","venue":"Juremi Jurnal Riset Ekonomi","topic":"Advanced Synthetic Organic Chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Regional autonomy; Urban policy","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":[0.001153699,0.0006545075,0.0004912447,0.0006540848,0.0008998176,0.005029683,0.0006463625,0.001061656,0.04573813],"category_scores_gemma":[0.00145878,0.0004017295,0.0006883413,0.0006901885,0.000711329,0.002077744,0.001416498,0.001355812,0.005344447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003070413,"about_ca_system_score_gemma":0.006619267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160826,"about_ca_topic_score_gemma":0.01480915,"domain_scores_codex":[0.9991807,0.0001696273,0.00004272649,0.0001769198,0.0002201868,0.0002096865],"domain_scores_gemma":[0.9994192,0.0001626725,0.00006574665,0.00005514507,0.0002046303,0.00009248828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001376201,0.0007596924,0.02943623,0.002197691,0.0002463116,0.000924441,0.001324453,0.07477709,0.01685812,0.4489161,0.08304023,0.3401435],"study_design_scores_gemma":[0.0002047614,0.0007087499,0.04539502,0.001068407,0.0002617967,0.0006447031,0.004604802,0.0538183,0.01832961,0.1227476,0.752045,0.0001713273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1846855,0.01170501,0.05299014,0.01247447,0.001218809,0.0004482509,0.003630935,0.0005303957,0.7323166],"genre_scores_gemma":[0.7335138,0.007097701,0.01829935,0.0007552283,0.0002321697,0.0002943892,0.001319267,0.0001539035,0.2383343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04573813,"threshold_uncertainty_score":0.1530093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326652590729387,"score_gpt":0.2551240005599152,"score_spread":0.2418574746526213,"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."}}