{"id":"W4408317470","doi":"10.1029/2024jd042162","title":"Global Model of Atmospheric Chlorate on Earth","year":2025,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"Division of Atmospheric and Geospace Sciences; National Aeronautics and Space Administration","keywords":"Chlorate; Earth (classical element); Environmental science; Astrobiology; Atmospheric sciences; Earth science; Geology; Chemistry; Physics; Astronomy; Physical chemistry","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":[0.0005485223,0.0001532504,0.0003894315,0.00000527938,0.00009951556,0.00003631268,0.0005337769,0.00007207684,0.00109097],"category_scores_gemma":[0.0002615961,0.0001080144,0.0003070855,0.0009902888,0.000551651,0.0002080327,0.0003396661,0.0003977728,0.0001714536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000318345,"about_ca_system_score_gemma":0.00006379449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005464726,"about_ca_topic_score_gemma":0.00005138066,"domain_scores_codex":[0.9974619,0.0001130714,0.0004667921,0.0002235717,0.0012876,0.00044708],"domain_scores_gemma":[0.9990149,0.0002023573,0.000178251,0.0002857916,0.00005024,0.0002684872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002550182,0.004726751,0.1230915,0.00008284904,0.0005621043,0.00007893331,0.0001579392,0.4052853,0.2927325,0.005064257,0.04377472,0.121893],"study_design_scores_gemma":[0.002827383,0.003308207,0.5202638,0.000411243,0.0001742787,0.00001024058,0.0004170621,0.2706425,0.07483091,0.1182829,0.008220961,0.0006104966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725492,0.00008283247,0.0006515393,0.0004049643,0.00003374918,0.00007696212,0.000006237402,0.000004479426,0.02619003],"genre_scores_gemma":[0.9940057,0.0001033086,0.002259399,0.000122207,0.00004851792,0.000001978799,6.131141e-7,0.000007693518,0.003450562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3971723,"threshold_uncertainty_score":0.9998221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603636241747065,"score_gpt":0.3182341753901817,"score_spread":0.2921978129727111,"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."}}