{"id":"W2802637918","doi":"","title":"An Intercomparison of Weather-Based Thermal-Rating Methods for a High Voltage Transmission Line in British Columbia","year":2017,"lang":"en","type":"article","venue":"97th American Meteorological Society Annual Meeting","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Meteorology; Environmental science; Transmission (telecommunications); Line (geometry); Remote sensing; Electric power transmission; Climatology; Telecommunications; Geography; Computer science; Electrical engineering; Engineering; Geology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001084121,0.0004406514,0.0005141241,0.000852914,0.001760186,0.001700909,0.001038519,0.0006396801,0.0007065073],"category_scores_gemma":[0.002068426,0.0002316093,0.0003350545,0.001610955,0.0003777211,0.0005602863,0.0004525923,0.0006287142,0.000248103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007019915,"about_ca_system_score_gemma":0.004555951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9136687,"about_ca_topic_score_gemma":0.9566963,"domain_scores_codex":[0.9991207,0.0001774509,0.00006056286,0.0001894837,0.0003525222,0.0000993342],"domain_scores_gemma":[0.9978242,0.0002360794,0.0000868216,0.0001209824,0.001668003,0.00006384965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002054858,0.0009213365,0.55385,0.0004495347,0.0009093282,0.0009424642,0.005139581,0.1885316,0.05338169,0.001398828,0.009626226,0.1827945],"study_design_scores_gemma":[0.000162767,0.0001440415,0.7851526,0.00009837758,0.0002619555,0.00008436939,0.00237694,0.1955785,0.008897745,0.0002259904,0.006905502,0.0001112208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908064,0.0002214517,0.002593304,0.0001113638,0.00003272452,0.00003950487,0.0008830741,0.000146406,0.005165669],"genre_scores_gemma":[0.9956315,0.00007131421,0.002185101,0.00002591129,0.000003818662,0.00001580602,0.0005984074,0.0000286161,0.001439635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08633131,"threshold_uncertainty_score":0.1736794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412414637652834,"score_gpt":0.3073522786423598,"score_spread":0.2932281322658314,"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."}}