{"id":"W7000595187","doi":"","title":"Field campaign data analysis in support of the future FORUM and CAIRT ESA missions","year":2023,"lang":"en","type":"article","venue":"AMS Degree Thesis (University of Bologna)","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Code (set theory); Radiance; Field (mathematics); Set (abstract data type); Focus (optics); Component (thermodynamics); Satellite","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":[0.00062238,0.0005077907,0.0003819853,0.002590408,0.000521547,0.0007073079,0.000665027,0.0005014985,0.007828456],"category_scores_gemma":[0.001072704,0.0001153189,0.000347145,0.002907686,0.000182062,0.0004924008,0.0004786083,0.0004952467,0.003637853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123597,"about_ca_system_score_gemma":0.001307661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1359265,"about_ca_topic_score_gemma":0.2046718,"domain_scores_codex":[0.9995449,0.0000353055,0.00001969445,0.00009479361,0.0002238072,0.00008156194],"domain_scores_gemma":[0.9989927,0.00008650079,0.0001063166,0.0001588864,0.000574372,0.00008117368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001922513,0.0005854554,0.2293799,0.001109279,0.0004666483,0.001379155,0.001335765,0.03389499,0.03395227,0.004787988,0.2755461,0.41564],"study_design_scores_gemma":[0.0001497737,0.0001297675,0.6898334,0.0001282634,0.00006636049,0.0002276892,0.000935682,0.02196536,0.008647371,0.0005979967,0.2772055,0.0001128854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4845668,0.001118392,0.0117849,0.001058006,0.0005262052,0.0007079832,0.3679257,0.005115537,0.1271964],"genre_scores_gemma":[0.5592641,0.0006484591,0.02961199,0.0003136306,0.0002429367,0.0006073066,0.3713773,0.001082395,0.03685195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1359265,"threshold_uncertainty_score":0.2702705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048827787784411,"score_gpt":0.2126990269447775,"score_spread":0.1922107490669334,"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."}}