{"id":"W6930800302","doi":"10.5281/zenodo.16876290","title":"Sweltsa onkos","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life history; Expansive; State (computer science); Range (aeronautics)","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":[0.0001292409,0.0003979541,0.0003482724,0.001382389,0.001528058,0.0004749584,0.000287719,0.0003159311,0.009353871],"category_scores_gemma":[0.0002735482,0.0002316336,0.0002376201,0.000536531,0.000542895,0.0006385019,0.00131166,0.0003917085,0.002028634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007362117,"about_ca_system_score_gemma":0.0004617403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03081182,"about_ca_topic_score_gemma":0.1154834,"domain_scores_codex":[0.9998865,0.000005687427,0.00001131961,0.00004288024,0.00003123632,0.00002231825],"domain_scores_gemma":[0.9998544,0.00002062568,0.00005230762,0.00001732189,0.00003006539,0.00002521445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001524752,0.0005173947,0.2833461,0.002373875,0.0002405012,0.006725038,0.0110699,0.00160509,0.2865053,0.003992394,0.02075702,0.3813427],"study_design_scores_gemma":[0.00005388266,0.0003449114,0.9105064,0.0005889609,0.00009944633,0.002261677,0.003563676,0.0003932837,0.004210706,0.001062709,0.07687552,0.00003886453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121315,0.002060626,0.0008850579,0.000163235,0.0001265132,0.0001741767,0.002261441,0.0001531924,0.08204422],"genre_scores_gemma":[0.9795114,0.0009264133,0.001092812,0.000255784,0.0000286768,0.00005329778,0.002071466,0.00002793199,0.01603224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03081182,"threshold_uncertainty_score":0.06126493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767868552085579,"score_gpt":0.2399943813332665,"score_spread":0.2123156958124107,"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."}}