{"id":"W1967454534","doi":"10.1029/2009eo130001","title":"Isoscapes to Address Large‐Scale Earth Science Challenges","year":2009,"lang":"en","type":"article","venue":"Eos","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Environment and Climate Change Canada","funders":"Purdue Climate Change Research Center, Purdue University; Purdue University; National Science Foundation","keywords":"Environmental science; Fencing; Structural basin; Ditch; Geography; Cropping; Arable land; Ecology; Hydrology (agriculture); Agroforestry; Agriculture; Geology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001881926,0.0001280828,0.0001040247,0.000008014459,0.0002114614,0.0000258893,0.0003923904,0.00003883111,0.0008970298],"category_scores_gemma":[0.00001169738,0.0001159652,0.00003354589,0.0002345361,0.0002037906,0.0002430138,0.0002154346,0.00008160724,0.001261413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009331504,"about_ca_system_score_gemma":0.000005165761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001784866,"about_ca_topic_score_gemma":0.00006170324,"domain_scores_codex":[0.9986175,0.0000128557,0.0001095968,0.0003979959,0.000410306,0.0004517251],"domain_scores_gemma":[0.9994401,0.000007949704,0.00001944357,0.0002990316,0.000002097493,0.0002313929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006159255,0.001046877,0.03346851,0.000009114357,0.00001030447,0.00004235526,0.0115359,0.04952932,0.1029292,0.001622776,0.002412633,0.7973315],"study_design_scores_gemma":[0.000279563,0.0003801347,0.8698397,0.00001454569,0.000008636628,0.00001368879,0.001391338,0.006174124,0.003981183,0.0005066798,0.11693,0.0004804551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247283,0.0001118486,0.004262437,0.001309689,0.0001057034,0.0002029555,0.000002042599,0.00007440155,0.06920262],"genre_scores_gemma":[0.9802938,0.00009865854,0.01626495,0.001210424,0.00003934657,0.000007319271,6.037516e-7,0.000009121562,0.002075785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8363712,"threshold_uncertainty_score":0.9995162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008006603254981025,"score_gpt":0.2196599170190761,"score_spread":0.211653313764095,"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."}}