{"id":"W2154077464","doi":"10.5194/cp-11-1153-2015","title":"A millennial summer temperature reconstruction for northeastern Canada using oxygen isotopes in subfossil trees","year":2015,"lang":"en","type":"article","venue":"Climate of the past","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Geological Survey of Canada; Natural Resources Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Subfossil; δ18O; Physical geography; Bay; Climatology; Climate change; Period (music); Boreal; Arctic; Isotopes of oxygen; Paleoclimatology; Dendrochronology; Series (stratigraphy); Geology; Geography; Holocene; Oceanography; Stable isotope ratio; Paleontology","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":[0.0001344549,0.0002502211,0.0001667194,0.001089962,0.0008296374,0.0006102063,0.0003409533,0.0001574839,0.0007486769],"category_scores_gemma":[0.0002426644,0.0001271414,0.0002620067,0.001485756,0.0001476018,0.0001327443,0.0002142547,0.0001703559,0.0001446384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004162033,"about_ca_system_score_gemma":0.004917048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9410138,"about_ca_topic_score_gemma":0.9772503,"domain_scores_codex":[0.9999312,0.000003119551,0.000002473354,0.00001874855,0.00002070484,0.00002363273],"domain_scores_gemma":[0.999756,0.00001175828,0.00003022998,0.00001193741,0.0001503787,0.00003959452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001505351,0.00002568835,0.9465772,0.00003846273,0.0001431845,0.0001529794,0.0004191622,0.007637565,0.009061454,0.0002483697,0.001409802,0.03413553],"study_design_scores_gemma":[0.000003577564,0.000005168483,0.9894498,0.00001156668,0.00002157696,0.00003063369,0.0002215908,0.007592084,0.0007730215,0.00003221129,0.001848726,0.000009930659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937783,0.0003231771,0.0008771964,0.00002985804,0.000003862553,0.000007734545,0.003583228,0.00005126755,0.001345259],"genre_scores_gemma":[0.9951171,0.0001367276,0.001274478,0.000008090238,0.000001487276,0.000003908395,0.00296653,0.00001244683,0.0004790854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05898625,"threshold_uncertainty_score":0.1186672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100184644620817,"score_gpt":0.2363599807240584,"score_spread":0.2053581342778503,"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."}}