{"id":"W1759471626","doi":"10.1520/stp14765s","title":"Seasonal Trends and Causes in Pavement Structural Properties","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Forensic engineering; Engineering","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":[0.00037941,0.00009612395,0.0001059228,0.0008225623,0.0001254529,0.0003151465,0.0002206642,0.0001838114,0.0009839128],"category_scores_gemma":[0.001097966,0.0001018902,0.0001458641,0.001508069,0.0002594277,0.0004415199,0.0002054811,0.0001992825,0.0001826571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287538,"about_ca_system_score_gemma":0.0001890916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008414561,"about_ca_topic_score_gemma":0.01670481,"domain_scores_codex":[0.9998178,0.00002014919,0.00001701244,0.00006860573,0.00005586811,0.00002055292],"domain_scores_gemma":[0.9992673,0.0001857348,0.0002538869,0.00007128273,0.0001867411,0.00003509684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007169129,0.0000312689,0.9084445,0.00008308875,0.00003626367,0.0002221749,0.0007619146,0.001198676,0.004507765,0.0006257073,0.001168699,0.0828482],"study_design_scores_gemma":[4.256857e-7,0.00001823387,0.997122,0.000004953953,0.000007937306,0.0001376595,0.0002320813,0.0007138828,0.0003778969,0.0001460201,0.001235989,0.000002875299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994459,0.001255165,0.00103431,0.0001457409,0.00001071683,0.00001008694,0.0006654179,0.00004705234,0.002372473],"genre_scores_gemma":[0.9977302,0.0005519636,0.0003633945,0.00001481749,0.0000101964,0.000004913683,0.0004407119,0.00001338802,0.0008704368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008414561,"threshold_uncertainty_score":0.0167312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648312628444687,"score_gpt":0.2276548739401336,"score_spread":0.2011717476556867,"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."}}