{"id":"W7097416747","doi":"","title":"Atmospheric Chemistry and Physics Open Access Atmospheric Measurement Techniques Analysis of CCN activity of Arctic aerosol and Canadian biomass","year":2013,"lang":"en","type":"article","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Aerosol; Atmospheric chemistry; Biomass burning; Arctic; The arctic; Biomass (ecology)","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":[0.0004335197,0.0004388801,0.000201419,0.00170869,0.002522691,0.001131948,0.0005789908,0.0002993982,0.001851244],"category_scores_gemma":[0.000762101,0.0002485171,0.0002549026,0.002292137,0.0003158724,0.0003470721,0.0006274703,0.0003747824,0.0002863175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007288298,"about_ca_system_score_gemma":0.01223779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9468862,"about_ca_topic_score_gemma":0.9679243,"domain_scores_codex":[0.9991874,0.00002109094,0.00001656142,0.0001151036,0.0005339851,0.0001258163],"domain_scores_gemma":[0.9992926,0.00004338227,0.00004634983,0.00002659213,0.0005059642,0.00008511228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009581284,0.0002985165,0.7010912,0.0003062541,0.0003279062,0.0003168251,0.001062892,0.008765788,0.152141,0.003006047,0.01579714,0.1159282],"study_design_scores_gemma":[0.00003016147,0.00003298398,0.9527664,0.00002238557,0.00007271381,0.00006435915,0.0002724942,0.007420293,0.02157982,0.0001806218,0.01752167,0.00003612949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511883,0.0008219606,0.002794679,0.0002440789,0.0001371507,0.00009762936,0.01252155,0.0002366113,0.03195801],"genre_scores_gemma":[0.981737,0.0005802949,0.004334719,0.00008555302,0.00004445057,0.00003290226,0.005326645,0.00005964065,0.007798834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05311376,"threshold_uncertainty_score":0.1068531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618075618074695,"score_gpt":0.2491495406162896,"score_spread":0.2229687844355427,"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."}}