{"id":"W2995705757","doi":"","title":"Identifying Controls on the Stable Water Isotope Composition of Precipitation in the Southwestern Yukon Using GCMs","year":2007,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stable isotope ratio; Precipitation; Climatology; Environmental science; Composition (language); Isotope; Geology; Physical geography; Geography; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004754435,0.0003111526,0.0003385433,0.0007747927,0.0006492671,0.0008690316,0.0003980343,0.0003086095,0.0007130886],"category_scores_gemma":[0.001009374,0.0002811562,0.0003592096,0.001109164,0.0005709132,0.0003946046,0.0004201877,0.0001841326,0.00007286928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212388,"about_ca_system_score_gemma":0.001311041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4411277,"about_ca_topic_score_gemma":0.4966488,"domain_scores_codex":[0.9997173,0.00006521346,0.00002126707,0.0001051954,0.0000305756,0.00006049035],"domain_scores_gemma":[0.9994208,0.0001684087,0.0001116384,0.00007505586,0.0001539428,0.00007019581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003466583,0.00003863325,0.9836197,0.0000174093,0.0002308489,0.00007872251,0.0003553891,0.001879369,0.009321026,0.0003198805,0.0002174197,0.003574906],"study_design_scores_gemma":[0.00001639783,0.00001049497,0.9964042,0.00000205614,0.00003733707,0.000008508365,0.0001951551,0.00262564,0.0004630707,0.00005302961,0.0001792992,0.000004943575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995092,0.00002252534,0.0000578945,0.00002098248,0.000001088486,0.000003874102,0.0001966256,0.000006293651,0.0001815268],"genre_scores_gemma":[0.9995629,0.0000141791,0.00006744501,0.000009090691,7.790862e-7,0.00000284177,0.0002558041,0.000002996931,0.0000838537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5588722,"threshold_uncertainty_score":0.8771202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06699488838088716,"score_gpt":0.2757431655727062,"score_spread":0.2087482771918191,"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."}}