{"id":"W4402063375","doi":"10.58411/htgydn51","title":"PENGUKURAN INDIKATOR PROGRAM PEMBANGUNAN BIDANG SOSIAL KOTA MALANG TAHUN 2021","year":2022,"lang":"id","type":"article","venue":"PANGRIPTA","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Geography","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":[0.0007843112,0.000555857,0.001029927,0.0005945605,0.0009303321,0.0004040739,0.001079294,0.0002561933,0.007390181],"category_scores_gemma":[0.0001281742,0.000745016,0.0005677227,0.0006871233,0.0002091346,0.0003246216,0.0008940427,0.001007976,0.003061561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004206448,"about_ca_system_score_gemma":0.0001360631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285732,"about_ca_topic_score_gemma":0.0001703818,"domain_scores_codex":[0.995925,0.0001168204,0.001343525,0.001119164,0.0001398945,0.001355601],"domain_scores_gemma":[0.9977243,0.00007527457,0.0008236523,0.0009121139,0.00003510915,0.0004295531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001822935,0.001926059,0.7852619,0.0003829304,0.0007058579,0.0001334151,0.008558821,0.00004625068,0.000127618,0.08608041,0.0869151,0.02967938],"study_design_scores_gemma":[0.001511499,0.0005749755,0.1690738,0.00002187911,0.00005155194,0.00003373644,0.001671248,0.001156591,0.00006639456,0.001470106,0.8233105,0.001057694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.85212,0.01412341,0.00002463603,0.003839293,0.007444573,0.001518877,0.002606062,0.000171786,0.1181514],"genre_scores_gemma":[0.9667916,0.0004154941,0.0001900515,0.001009784,0.001698186,0.0006068271,0.0003496211,0.0001390449,0.02879939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7363954,"threshold_uncertainty_score":0.9995001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171057906321417,"score_gpt":0.2151828271485664,"score_spread":0.1934722480853522,"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."}}