{"id":"W2015155600","doi":"10.1007/s10933-009-9313-z","title":"Effect of removing small (&lt;150 μm) chironomids on inferring temperature in cold lakes","year":2009,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Latitude; Environmental science; Sediment; Paleolimnology; Climate change; Sedimentology; Physical geography; Hydrology (agriculture); Chironomidae; Air temperature; Geology; Atmospheric sciences; Ecology; Oceanography; Biology; Geography; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003326171,0.000867468,0.00092387,0.0003354096,0.00135348,0.001146809,0.0009576798,0.001402401,0.0014714],"category_scores_gemma":[0.01683606,0.000569566,0.0008741282,0.0003415231,0.001341417,0.0007532434,0.0007807011,0.001065561,0.0002800919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008303358,"about_ca_system_score_gemma":0.001810708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04931042,"about_ca_topic_score_gemma":0.08298589,"domain_scores_codex":[0.9984333,0.0007193838,0.0001746659,0.0003560269,0.0001412922,0.0001753309],"domain_scores_gemma":[0.9721515,0.02397548,0.001084934,0.0007515489,0.001098626,0.0009378405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01963858,0.00139002,0.6608433,0.0006744416,0.002942761,0.0006585924,0.001259132,0.03466338,0.2069688,0.0001690923,0.001328721,0.06946323],"study_design_scores_gemma":[0.0004422826,0.00150654,0.912232,0.00007230028,0.002983673,0.0003018182,0.0008034786,0.02893693,0.05094389,0.0002108112,0.00146729,0.00009886755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987116,0.0001607207,0.000638446,0.00007771329,0.00003287962,0.00001056554,0.0001228381,0.00001535856,0.0002300328],"genre_scores_gemma":[0.9957046,0.0001314695,0.003150447,0.0001797189,0.00002762686,0.00001481129,0.000377774,0.00002681367,0.000386693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04931042,"threshold_uncertainty_score":0.09804678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026789405963699,"score_gpt":0.245060475938235,"score_spread":0.2347925818785981,"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."}}