{"id":"W7025118839","doi":"","title":"Variability of ground CO<sub>2</sub> concentration in the middle taiga subzone of the Yenisei region of Siberia","year":2015,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Pediatric Urology and Nephrology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Altitude (triangle); Observatory; Seasonality; Period (music); Ecosystem; Boreal; Permafrost","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":[0.0002199154,0.0002096343,0.0002476299,0.0006608891,0.0003447089,0.0004494502,0.0001553816,0.0001572141,0.0005190812],"category_scores_gemma":[0.0002336,0.00009359352,0.0001664263,0.001061413,0.0002773971,0.00018487,0.0003887248,0.0001356695,0.00009499484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007476246,"about_ca_system_score_gemma":0.0003969608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0785087,"about_ca_topic_score_gemma":0.08587576,"domain_scores_codex":[0.9999272,0.00001125605,0.000008251971,0.00001869402,0.00001036054,0.00002427756],"domain_scores_gemma":[0.9998518,0.00001948903,0.00004650207,0.0000133379,0.00003229262,0.00003651118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001385486,0.00001776763,0.9884376,0.00001888583,0.0000942429,0.000188123,0.0004237695,0.0006781178,0.004904115,0.00004429068,0.000145015,0.004909431],"study_design_scores_gemma":[9.62349e-7,0.000004827041,0.999427,0.000001433948,0.000005452328,0.00001626293,0.00009569622,0.0001865153,0.0001649463,0.000004751507,0.00009108297,0.000001266294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99932,0.00005067427,0.00003591837,0.000009255292,0.000001200707,0.000001054885,0.0003268429,0.000004149937,0.0002508667],"genre_scores_gemma":[0.999289,0.00003737215,0.00004544889,0.000006519681,0.000001698439,0.00000304223,0.0005137096,0.000001270199,0.0001018733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0785087,"threshold_uncertainty_score":0.1561035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871337672441641,"score_gpt":0.2139048491498956,"score_spread":0.1851914724254792,"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."}}