{"id":"W7099843615","doi":"","title":"Analysis of Daily Air Temperatures across a Topographically Complex Alpine Region","year":2014,"lang":"en","type":"article","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transect; Air temperature; Weather station; Series (stratigraphy); Time series; Atmospheric temperature; Climate change; Automatic weather station","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":[0.0003276411,0.0001640909,0.000216024,0.00105198,0.0004070002,0.0006404558,0.0001929457,0.0001556078,0.0004753816],"category_scores_gemma":[0.001065013,0.0001035089,0.0001719035,0.002021475,0.0002092138,0.0001755623,0.000283302,0.0001380829,0.0001186835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009859763,"about_ca_system_score_gemma":0.001085395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4191957,"about_ca_topic_score_gemma":0.690522,"domain_scores_codex":[0.9997184,0.0000412756,0.00002877585,0.00007234738,0.00009635802,0.00004285897],"domain_scores_gemma":[0.9991159,0.000158186,0.0002076391,0.00009226705,0.000369575,0.00005643706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005860463,0.00001683215,0.9794469,0.00005975173,0.00009638499,0.0001304712,0.0004898518,0.001457403,0.004245671,0.0000265321,0.0005067339,0.01346494],"study_design_scores_gemma":[7.356224e-7,0.000006289248,0.9985822,0.000003430366,0.000005832228,0.00001441887,0.0001503128,0.0003274268,0.0002266264,0.000003076732,0.0006775806,0.000002031762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953948,0.0001751062,0.0003530153,0.00001448268,0.000003144141,0.000008528635,0.003408388,0.000018206,0.0006243707],"genre_scores_gemma":[0.9928576,0.0001370465,0.0006751127,0.000009492808,0.00000353686,0.00002197986,0.005717975,0.000006046151,0.0005711369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4191957,"threshold_uncertainty_score":0.8335115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086731877004351,"score_gpt":0.2672486273436242,"score_spread":0.2463813085735807,"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."}}