{"id":"W2015111192","doi":"10.5194/acp-6-2273-2006","title":"Interactive chemistry in the Laboratoire de Météorologie Dynamique general circulation model: model description and impact analysis of biogenic hydrocarbons on tropospheric chemistry","year":2006,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":266,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Isoprene; Troposphere; Tropospheric ozone; Atmospheric sciences; Ozone; Chemistry; Atmospheric chemistry; Methane; Biosphere; Climatology; Environmental science; Environmental chemistry; Organic chemistry; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008759216,0.001298876,0.001144913,0.0006211915,0.0005907859,0.001680049,0.002418782,0.002256106,0.06253247],"category_scores_gemma":[0.001960841,0.0006262148,0.001297847,0.001285656,0.000382129,0.001236861,0.001398562,0.001217213,0.01072685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202377,"about_ca_system_score_gemma":0.002109624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0345905,"about_ca_topic_score_gemma":0.01982966,"domain_scores_codex":[0.9997091,0.0001127102,0.00001242462,0.0000528329,0.00008492416,0.00002797307],"domain_scores_gemma":[0.9993782,0.0002861073,0.00004606923,0.00008310212,0.0001323675,0.00007411315],"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":[0.0002139293,0.0001560571,0.00390048,0.0002711962,0.0002506412,0.0001780213,0.00007539614,0.8698253,0.002984082,0.01664181,0.08751883,0.01798431],"study_design_scores_gemma":[0.0002877832,0.00002549748,0.001260956,0.00002517857,0.00002837049,0.00001411447,0.00001162059,0.962625,0.0006583251,0.003561937,0.03147244,0.00002873471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1087383,0.001811946,0.2974505,0.004695648,0.002702986,0.001343682,0.4035878,0.0500661,0.129603],"genre_scores_gemma":[0.5774959,0.001997136,0.1712262,0.00124159,0.001233897,0.004438126,0.152186,0.01985141,0.07032979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06253247,"threshold_uncertainty_score":0.209192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008234999487614792,"score_gpt":0.2201078209194569,"score_spread":0.2118728214318421,"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."}}