{"id":"W3025289216","doi":"10.1007/s40333-020-0065-y","title":"Performance and uncertainty analysis of a short-term climate reconstruction based on multi-source data in the Tianshan Mountains region, China","year":2020,"lang":"en","type":"article","venue":"Journal of Arid Land","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Cru; Environmental science; Climatology; Precipitation; Term (time); China; Calibration; Meteorology; Climate change; Geography; Statistics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003085735,0.0006442303,0.0005706197,0.001275508,0.0005782573,0.001013191,0.001021023,0.0009354887,0.0006635601],"category_scores_gemma":[0.004915439,0.0004549411,0.0008397516,0.001278505,0.0005247504,0.001068306,0.000733374,0.0004258992,0.0001047561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383981,"about_ca_system_score_gemma":0.002203553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06171846,"about_ca_topic_score_gemma":0.03050525,"domain_scores_codex":[0.999511,0.0001581167,0.00004850117,0.0001233713,0.0000947865,0.00006415294],"domain_scores_gemma":[0.9968284,0.00177597,0.0003074391,0.000275994,0.0006229529,0.0001893068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007279324,0.0000988438,0.04987212,0.00005488176,0.000280213,0.0001738075,0.00007718685,0.9280931,0.003204531,0.0004234102,0.0003278432,0.01666612],"study_design_scores_gemma":[0.00002290729,0.00002705886,0.01741478,0.000004421444,0.0000615779,0.00001350006,0.00002902295,0.9811935,0.001018648,0.0001326473,0.00006508055,0.00001683313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940575,0.0001645839,0.004668527,0.000133315,0.00001680328,0.000007828058,0.0004471899,0.0001154183,0.0003888291],"genre_scores_gemma":[0.9971051,0.00004624192,0.001996667,0.000009045525,0.000007839606,0.000004762309,0.0007137066,0.0000107324,0.0001059831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06171846,"threshold_uncertainty_score":0.1227185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04274404632821538,"score_gpt":0.2633204907104241,"score_spread":0.2205764443822087,"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."}}