{"id":"W4226053538","doi":"10.5281/zenodo.5719528","title":"Technical Summary: The AMAP Climate and Air Quality Emulator","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Air quality index; Quality (philosophy); Computer science; Meteorology; Geography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00471787,0.001865825,0.0007727757,0.00232337,0.0007557973,0.003167568,0.002411724,0.001416165,0.07331462],"category_scores_gemma":[0.01243398,0.0008449841,0.001335251,0.002758754,0.0002311145,0.0025416,0.001774413,0.001618792,0.1064389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069878,"about_ca_system_score_gemma":0.002105962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008670173,"about_ca_topic_score_gemma":0.003262546,"domain_scores_codex":[0.9971398,0.0007180233,0.0002239554,0.0002931164,0.001462955,0.0001621542],"domain_scores_gemma":[0.99521,0.0006715322,0.0002556574,0.0008423564,0.00284365,0.0001768265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002076549,0.000093798,0.002884558,0.0006507874,0.00007888474,0.0001019839,0.00009771949,0.02776513,0.002946405,0.007359497,0.8331048,0.1247087],"study_design_scores_gemma":[0.0000823847,0.0000631271,0.003511355,0.0003000843,0.00005278301,0.0001314914,0.0000638454,0.01814994,0.005960708,0.005087669,0.966516,0.0000806609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.008828176,0.001947861,0.3320881,0.002635958,0.003793197,0.001921917,0.4563194,0.06800135,0.1244641],"genre_scores_gemma":[0.03972606,0.002559743,0.2564258,0.001320753,0.001018219,0.004023334,0.6128466,0.02918462,0.05289495],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07331462,"threshold_uncertainty_score":0.2452618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04621332928431206,"score_gpt":0.2784982680684822,"score_spread":0.2322849387841701,"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."}}