{"id":"W1986607725","doi":"10.1111/j.1468-0459.2008.00335.x","title":"Influence of climate and climate anomalies on norway spruce tree‐ring growth at different altitudes and on glacier responses: examples from the central italian alps","year":2008,"lang":"en","type":"article","venue":"Geografiska Annaler Series A Physical Geography","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Ontario Council on Graduate Studies, Council of Ontario Universities","keywords":"Altitude (triangle); Precipitation; Glacier; Climate change; Picea abies; Dendroclimatology; Dendrochronology; Alpine climate; Physical geography; Climatology; Karst; Environmental science; Chronology; Effects of high altitude on humans; Geology; Geography; Ecology; Meteorology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003666095,0.000256824,0.0002178537,0.0006849892,0.0002272511,0.0003244795,0.0001459213,0.0001802558,0.0004019109],"category_scores_gemma":[0.000404312,0.00006542775,0.0002910841,0.0006173448,0.0002741139,0.00009827815,0.0002329465,0.0001030594,0.00007117425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823529,"about_ca_system_score_gemma":0.0001025751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365312,"about_ca_topic_score_gemma":0.03562552,"domain_scores_codex":[0.999851,0.0000333008,0.000007874424,0.0000415447,0.00002634438,0.00003995249],"domain_scores_gemma":[0.9996685,0.00009756658,0.0001076039,0.00004162825,0.00003949572,0.00004522208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003099789,0.00006389026,0.9623427,0.00009262387,0.0001337462,0.000794264,0.001002274,0.001026379,0.01943403,0.00007705432,0.0002442512,0.01447869],"study_design_scores_gemma":[7.79061e-7,0.00001517253,0.9995306,0.000001305523,0.000006148231,0.00004942884,0.00005615092,0.00006548163,0.0001271402,0.000006085132,0.0001402169,0.000001564242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988016,0.0003095944,0.00005405968,0.000008120557,0.000002161933,0.000002531288,0.000136259,0.000006761777,0.0006790849],"genre_scores_gemma":[0.9994294,0.0001449589,0.00008783326,0.000007267678,0.000004507201,0.000002161602,0.0002100522,0.000002658742,0.0001111915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365312,"threshold_uncertainty_score":0.02714729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353036746427484,"score_gpt":0.2118639054483225,"score_spread":0.1983335379840476,"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."}}