{"id":"W2800319480","doi":"10.1111/gcb.14288","title":"Spring phenology at different altitudes is becoming more uniform under global warming in Europe","year":2018,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Chicoutimi","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Phenology; Altitude (triangle); Global warming; Elevation (ballistics); Climate change; Environmental science; Forcing (mathematics); Temperate climate; Effects of high altitude on humans; Climatology; Atmospheric sciences; Spring (device); Ecology; Biology; Geography; Meteorology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000883137,0.0002655323,0.0002693495,0.00001984625,0.0001421697,0.00001563018,0.0003592675,0.0002501379,0.000364886],"category_scores_gemma":[0.00003407764,0.0001977451,0.00004738213,0.000455525,0.0005100792,0.00008760801,0.0009944508,0.0001222836,0.0007243811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357811,"about_ca_system_score_gemma":0.000005178028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005061075,"about_ca_topic_score_gemma":0.0167075,"domain_scores_codex":[0.99828,0.00008718204,0.0002386421,0.0005787455,0.0001305731,0.0006848656],"domain_scores_gemma":[0.9994652,0.00001880042,0.0001004705,0.0002835079,0.00001916689,0.0001128892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002835712,0.00005642002,0.9830347,0.000004939242,0.00001677419,0.00001960045,0.0004678711,0.000005101303,0.002882179,0.0006534377,0.0005108683,0.01231974],"study_design_scores_gemma":[0.0003794111,0.0001546383,0.9837532,0.00002356745,0.0000116795,0.00008183082,0.0001499192,0.0004852705,0.000377954,0.0006898629,0.01360696,0.0002856905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895102,0.0001886175,0.0001150095,0.001521057,0.0006930702,0.0002083311,0.00002959906,0.00007137826,0.007662751],"genre_scores_gemma":[0.9962125,0.00005506589,0.0008330805,0.002444164,0.0003375779,0.000002785392,0.00001451305,0.000008965205,0.0000913771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309609,"threshold_uncertainty_score":0.932318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04074069739590319,"score_gpt":0.2860733825218862,"score_spread":0.2453326851259831,"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."}}