{"id":"W1973831920","doi":"10.1061/9780784412473.037","title":"Calibration of a Freeze-Thaw Prediction Model for Spring Load Restriction Timing in Northern New England","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frost (temperature); Environmental science; Calibration; Truck; Spring (device); Hydrology (agriculture); Meteorology; Geotechnical engineering; Engineering; Geography; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000231442,0.00006440194,0.00007458673,0.0000358995,0.00003387882,0.000009286573,0.00004242039,0.0000590905,0.00006793277],"category_scores_gemma":[0.00003363494,0.00006280917,0.00002256457,0.00009482971,0.00002015436,0.000618848,0.00003054143,0.00002963051,0.000008764137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167857,"about_ca_system_score_gemma":0.00001602751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009869738,"about_ca_topic_score_gemma":0.02286545,"domain_scores_codex":[0.9993633,0.00001602429,0.0002091054,0.0001177421,0.0001459023,0.0001479443],"domain_scores_gemma":[0.9997573,0.00001763881,0.00007547137,0.00009690032,0.000005605637,0.00004701996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000351393,0.00001905934,0.9152671,0.000005728813,0.000001847112,2.671225e-8,0.0003547113,0.0294832,0.0530399,0.00007626106,0.00005343939,0.001663658],"study_design_scores_gemma":[0.0008424163,0.00003654109,0.6028437,0.00001208638,0.00001295528,0.000002875156,0.00005282704,0.3741404,0.02118412,0.0005747783,0.0002037372,0.00009350941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656137,0.000005125364,0.1334877,0.00002364809,0.0002588137,0.0002100939,0.000005037148,0.00003087552,0.0003650573],"genre_scores_gemma":[0.9924917,0.000003430782,0.007276029,0.000007129531,0.0001290783,0.00001475164,0.000005946976,0.00000866784,0.00006322983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3446572,"threshold_uncertainty_score":0.9967237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078401354662127,"score_gpt":0.2192574671585774,"score_spread":0.1984734536119561,"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."}}