{"id":"W6989389949","doi":"","title":"ANALYSIS OF PAVEMENT CONDITION INDEX DUE TO CLIMATE FACTORS FOR REGENCY ROAD","year":2020,"lang":"en","type":"other","venue":"UMS Library Center of Academic Activities (Universitas Surakarta)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pavement management; Forest road; Rating system; Asset management; Road construction; License; Impervious surface; Drainage","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":[0.0006041212,0.0003561713,0.0003297102,0.001670167,0.0003002073,0.0005641059,0.0002885853,0.0003377219,0.002329194],"category_scores_gemma":[0.001753945,0.000158542,0.001047143,0.001353726,0.0001726919,0.0004080064,0.0004144429,0.0004731931,0.0006569214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005307376,"about_ca_system_score_gemma":0.0002770799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086485,"about_ca_topic_score_gemma":0.02125212,"domain_scores_codex":[0.9994891,0.00008879589,0.00002908953,0.000169977,0.0001427735,0.000080338],"domain_scores_gemma":[0.998625,0.0004524218,0.0002117491,0.0001601088,0.0004094369,0.0001412532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003114842,0.000112662,0.9766892,0.00002524684,0.0001993806,0.00021014,0.0001824528,0.005550418,0.003263215,0.0001093145,0.001073259,0.01227315],"study_design_scores_gemma":[0.000001426063,0.00004569789,0.9934804,0.000002280816,0.00002460591,0.0000353531,0.0001319299,0.005502481,0.0004771994,0.00002803563,0.0002626268,0.000007909434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966751,0.0001127918,0.0006201189,0.00002770999,0.00001851043,0.00001311952,0.001379924,0.00003734898,0.001115272],"genre_scores_gemma":[0.9972457,0.00003605496,0.000216562,0.000004399889,0.000007379399,0.00001057292,0.001922696,0.00001078626,0.0005459103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02086485,"threshold_uncertainty_score":0.0414868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539146930765598,"score_gpt":0.2390885851296057,"score_spread":0.2236971158219497,"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."}}