{"id":"W6931766671","doi":"10.5281/zenodo.5719527","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":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Air quality index; Arctic; The arctic; Climate change; Air pollution; Quality (philosophy)","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":[0.004528245,0.001793988,0.0007632599,0.002145004,0.0007655447,0.002961478,0.002401916,0.001342917,0.06442649],"category_scores_gemma":[0.01127451,0.0008395044,0.001381607,0.002571305,0.0002178826,0.002507095,0.001715835,0.001636441,0.09135914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060222,"about_ca_system_score_gemma":0.002004173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008955077,"about_ca_topic_score_gemma":0.003329108,"domain_scores_codex":[0.9974064,0.0006598117,0.0001986604,0.00028768,0.001287951,0.0001594833],"domain_scores_gemma":[0.9957832,0.0005938623,0.0002336844,0.0007790543,0.002441304,0.0001688742],"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":[0.0002124121,0.00009506524,0.003566809,0.0006207954,0.00009638988,0.0001048334,0.0000943886,0.03212194,0.003015238,0.007435403,0.8432716,0.1093651],"study_design_scores_gemma":[0.0001039952,0.00006888431,0.004411677,0.0002939702,0.00006250921,0.0001451719,0.00006773027,0.02414739,0.006757047,0.005740321,0.958106,0.00009520697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009508914,0.001748908,0.2935995,0.002437636,0.003665726,0.001769364,0.5108709,0.06882816,0.1075709],"genre_scores_gemma":[0.0435891,0.002166557,0.2346039,0.00132737,0.0009765167,0.003617789,0.6430578,0.02936137,0.04129964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06442649,"threshold_uncertainty_score":0.2155281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02959260709206793,"score_gpt":0.2449876893175159,"score_spread":0.215395082225448,"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."}}