{"id":"W2146435825","doi":"10.1177/0959683609348253","title":"High-resolution chironomid-inferred temperature history since ad 1580 from varved Lake Silvaplana, Switzerland: comparison with local and regional reconstructions","year":2009,"lang":"en","type":"article","venue":"The Holocene","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Varve; Physical geography; Little ice age; Geology; Proxy (statistics); Younger Dryas; Climate change; Air temperature; Climatology; Paleoclimatology; Biogenic silica; Period (music); Precipitation; Sediment; Geography; Paleontology; Oceanography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001559847,0.0001921947,0.0002477056,0.00006698522,0.0002606084,0.00004723265,0.0001828063,0.000108065,0.0002826321],"category_scores_gemma":[0.00001808124,0.0001264947,0.00003458394,0.0001029587,0.0003377962,0.0001636053,0.000008316561,0.0002752586,0.00006279052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002439534,"about_ca_system_score_gemma":0.00008157302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624625,"about_ca_topic_score_gemma":0.006217628,"domain_scores_codex":[0.998873,0.000139516,0.0002080078,0.0003177906,0.0001824412,0.0002792763],"domain_scores_gemma":[0.9992283,0.0002228393,0.0001197337,0.0002801948,0.00002673865,0.0001221719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009138081,0.0002965883,0.6823861,0.00003580192,0.0003045356,0.0001261028,0.002124717,0.05919099,0.0006000514,0.000841904,0.02540789,0.2195472],"study_design_scores_gemma":[0.0005575147,0.0002225306,0.9911244,0.00003750869,0.0000370384,0.00009214808,0.0001244389,0.003126233,0.00007065706,0.0002166093,0.004195174,0.0001957749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935984,0.002912006,0.0001826209,0.002388718,0.0002274276,0.0001340831,0.0001896298,0.00010903,0.0002580546],"genre_scores_gemma":[0.9976438,0.0001598395,0.001210061,0.000340092,0.00009931972,0.000001048598,0.0003674467,0.000005188348,0.0001732274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087383,"threshold_uncertainty_score":0.5158304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812921223791781,"score_gpt":0.2051315998455997,"score_spread":0.1870023876076819,"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."}}