{"id":"W4286685357","doi":"10.1029/2022eo220335","title":"Tracing Water Particles Back in Time","year":2022,"lang":"en","type":"article","venue":"Eos","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tracing; Computer science; Environmental science; Operating system","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":[0.0002139787,0.000365803,0.0002520848,0.0009149039,0.0004352171,0.001023912,0.0005415685,0.0005017206,0.0007769339],"category_scores_gemma":[0.001408251,0.0003430121,0.0003863127,0.0009839803,0.0003867176,0.0006598551,0.0006018884,0.0005921843,0.0002436128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009117849,"about_ca_system_score_gemma":0.001096618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1440194,"about_ca_topic_score_gemma":0.1538084,"domain_scores_codex":[0.999878,0.000008240704,0.000004131202,0.00003921909,0.00004889569,0.00002142589],"domain_scores_gemma":[0.9997699,0.00005270145,0.00003417865,0.000034476,0.00007982231,0.00002892365],"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":[0.0004190083,0.0002439657,0.1477881,0.0001294152,0.0002642417,0.0004478434,0.001103295,0.5787029,0.05069961,0.01693116,0.008117154,0.1951533],"study_design_scores_gemma":[0.00001775089,0.00001457774,0.01369811,0.000008902957,0.00001856125,0.00003175118,0.0001075325,0.9767498,0.003888752,0.00260112,0.002841758,0.00002142156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7376485,0.0006373567,0.24898,0.0007293942,0.0003035746,0.00005162272,0.002049667,0.001752503,0.007847368],"genre_scores_gemma":[0.9291595,0.0002899781,0.06619089,0.0000750791,0.00003531571,0.00001445245,0.001356606,0.0001469228,0.002731251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1440194,"threshold_uncertainty_score":0.2863622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007928020410536817,"score_gpt":0.1719062913379569,"score_spread":0.1639782709274201,"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."}}