{"id":"W7162019280","doi":"10.82308/27144","title":"Evaluation of NARCM using aircraft observation from NARE","year":2001,"lang":"en","type":"dissertation","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Mode (computer interface); Nova scotia; Sulfur dioxide; Sulfate aerosol","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":[0.001270567,0.0006011471,0.0003801447,0.0004266507,0.000378727,0.0004961757,0.0006475383,0.0003391186,0.0007956908],"category_scores_gemma":[0.002360797,0.0002359315,0.0003812019,0.0004839743,0.0001534781,0.0004592409,0.0003293096,0.0003169559,0.0002261494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316693,"about_ca_system_score_gemma":0.00119367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2647705,"about_ca_topic_score_gemma":0.2279454,"domain_scores_codex":[0.9996358,0.00009009037,0.00001618462,0.00009778592,0.0001131175,0.00004705734],"domain_scores_gemma":[0.9990377,0.0002113978,0.0000666918,0.0001199572,0.0004909118,0.00007335007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006265395,0.0001888112,0.1929476,0.0001176021,0.0001746802,0.0001674225,0.0001433246,0.7619937,0.009197698,0.0004425148,0.001967799,0.03203237],"study_design_scores_gemma":[0.00007752773,0.00007397564,0.1262879,0.00001236724,0.00002861674,0.00001884506,0.00006744661,0.8687185,0.00344096,0.00007678939,0.001169456,0.00002761011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987826,0.00007115857,0.003560235,0.00009487397,0.00002400595,0.00008067614,0.004886384,0.000923018,0.002533528],"genre_scores_gemma":[0.9905779,0.00002784076,0.004305474,0.00001334262,0.00000441755,0.00002089213,0.004674794,0.00004306164,0.0003324009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2647705,"threshold_uncertainty_score":0.5264588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07044618152468335,"score_gpt":0.2883082724050445,"score_spread":0.2178620908803612,"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."}}