{"id":"W6930743128","doi":"10.5281/zenodo.13445506","title":"GEOS-Chem organic aerosol mass concentrations output data, Zenodo","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Aerosol; Mass spectrometry; Particulates; Pollutant; Carbon monoxide","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":[0.0007366187,0.002563325,0.001419167,0.003072655,0.0006983981,0.001847735,0.002528784,0.002129739,0.02486851],"category_scores_gemma":[0.002555357,0.0008391596,0.001718329,0.005296684,0.0005297647,0.001285796,0.001196078,0.00177956,0.03836512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338805,"about_ca_system_score_gemma":0.002427664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05930441,"about_ca_topic_score_gemma":0.05924562,"domain_scores_codex":[0.9992886,0.0000791608,0.00008189156,0.0002166535,0.0002263752,0.0001074565],"domain_scores_gemma":[0.9990007,0.0001428526,0.0001193613,0.0002517381,0.000360383,0.0001250168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001134144,0.00005360644,0.00163924,0.0005409569,0.0001008229,0.00003464084,0.00002006243,0.002856243,0.0004042207,0.0004983961,0.9910813,0.002657087],"study_design_scores_gemma":[0.0009082657,0.00003421778,0.01380111,0.0002109053,0.0001094312,0.0000625224,0.0001025646,0.005513302,0.001761402,0.002488494,0.9749081,0.00009962906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002402107,0.00002144176,0.00005551845,0.00002857611,0.00001864117,0.000009377955,0.999017,0.0002958465,0.0003133263],"genre_scores_gemma":[0.0005884712,0.00002572153,0.000282694,0.00002075733,0.000006908427,0.0000479921,0.9985582,0.00007171085,0.0003974689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05930441,"threshold_uncertainty_score":0.1179184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113871969677536,"score_gpt":0.243060045439851,"score_spread":0.2119213257430756,"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."}}