{"id":"W3028852778","doi":"","title":"Historical Analysis and Charaterization of Ground Level Ozone for Canada and United State","year":2003,"lang":"en","type":"article","venue":"AGUFM","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Environmental science; Meteorology; Geography; Computer science","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":[0.0005085521,0.0002031992,0.0001248987,0.005231955,0.00138208,0.001153128,0.0006173759,0.0003288356,0.001689542],"category_scores_gemma":[0.001497735,0.0001329723,0.0002555141,0.009481423,0.0005398592,0.0006212368,0.0005687212,0.0004775058,0.0001638356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01401494,"about_ca_system_score_gemma":0.007685214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9546267,"about_ca_topic_score_gemma":0.9788935,"domain_scores_codex":[0.9996207,0.00002078477,0.0000305821,0.00008708648,0.0001173661,0.0001233877],"domain_scores_gemma":[0.9978763,0.0001028594,0.0002677738,0.00006309884,0.001543261,0.0001467383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001354333,0.00004155967,0.9264082,0.0002072966,0.0001397378,0.0002419135,0.001629902,0.001600168,0.0009121998,0.004629223,0.008049709,0.05600451],"study_design_scores_gemma":[0.000001003729,0.000009454257,0.9699533,0.00003442091,0.00002998717,0.00009482941,0.0008533834,0.0004703,0.0004489173,0.000116068,0.02797902,0.000009357131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345664,0.009199412,0.0008294364,0.0009366671,0.00007280533,0.00002952681,0.03026521,0.00008014195,0.02402042],"genre_scores_gemma":[0.9853278,0.002778521,0.0003920903,0.0001067973,0.00002328443,0.000007250755,0.008554269,0.00001058313,0.002799457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04537326,"threshold_uncertainty_score":0.1016859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928366812003766,"score_gpt":0.1893486240179011,"score_spread":0.1700649558978634,"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."}}