{"id":"W1526167001","doi":"10.1023/a:1017524101783","title":"Chironomids as indicators of climate change: a 100‐lake training set from a subarctic region of northern Sweden (Lapland)","year":2001,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":279,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental science; Tundra; Ordination; Taiga; Loss on ignition; Physical geography; Air temperature; Range (aeronautics); Mean radiant temperature; Hydrology (agriculture); Climate change; Atmospheric sciences; Ecology; Geology; Geography; Ecosystem; Biology","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":[0.0007226408,0.0005383578,0.0006191597,0.0006820777,0.001667827,0.0006277499,0.000595583,0.0007422313,0.001270889],"category_scores_gemma":[0.001127468,0.0003393104,0.0004863662,0.0006731966,0.0006575484,0.0005232091,0.001228896,0.000423641,0.0008738759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006797059,"about_ca_system_score_gemma":0.0008463209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09233741,"about_ca_topic_score_gemma":0.2028303,"domain_scores_codex":[0.9995766,0.0001255301,0.00003534249,0.00007371581,0.00007438684,0.0001143946],"domain_scores_gemma":[0.9992352,0.0002636832,0.00007478815,0.0001190824,0.0001632967,0.0001440315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007237469,0.001099215,0.9557543,0.00006937885,0.0001893709,0.001394388,0.008035948,0.002289264,0.005472105,0.00005849884,0.002191616,0.0227221],"study_design_scores_gemma":[0.0000463757,0.0001892904,0.991327,0.00001401336,0.0000638413,0.0002558608,0.00419433,0.001192505,0.0007664877,0.0000297861,0.001905005,0.00001556541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994316,0.00001861988,0.00004295763,0.00001514758,8.970035e-7,0.00000576893,0.0003110156,0.000003322931,0.0001706368],"genre_scores_gemma":[0.993305,0.00004969426,0.0004219648,0.00003459165,0.000003111815,0.00003400749,0.004675781,0.00001425731,0.001461641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09233741,"threshold_uncertainty_score":0.1835999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654290855016995,"score_gpt":0.2713981879046718,"score_spread":0.2248552793545018,"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."}}