{"id":"W7047606696","doi":"","title":"Harmonisierung der GOME, SCIAMACHY und GOME-2 Ozonsäulendaten für die Untersuchung der Langzeittrends und deren Ursachen","year":2014,"lang":"en","type":"dissertation","venue":"Media (https://www.suub.uni-bremen.de/)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ozone; Atmospheric composition; Ozone layer; Spectroradiometer; SCIAMACHY","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":[0.001667351,0.0005220608,0.0004150439,0.001644692,0.0002679325,0.001048259,0.0006744363,0.0004557903,0.001538857],"category_scores_gemma":[0.001741781,0.0001826149,0.0005987327,0.002215987,0.0001985002,0.0008733053,0.00129796,0.0005430122,0.000934645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005812246,"about_ca_system_score_gemma":0.0009653746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288145,"about_ca_topic_score_gemma":0.01814379,"domain_scores_codex":[0.9991783,0.0001082016,0.00006007119,0.0002141436,0.0003248201,0.0001144779],"domain_scores_gemma":[0.9993196,0.00005912567,0.0001124225,0.0001998464,0.0002654708,0.00004359163],"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":[0.001542483,0.0003821349,0.3443629,0.0009649369,0.001963302,0.0005705496,0.001643723,0.07904685,0.07074963,0.009005751,0.03287144,0.4568964],"study_design_scores_gemma":[0.0000709169,0.0001932082,0.8276153,0.0002216097,0.0003251214,0.0001579943,0.001202167,0.03651362,0.02229493,0.002348916,0.1089456,0.0001106369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8736538,0.001835593,0.05991126,0.0002990565,0.0002321446,0.0002684337,0.04833067,0.001932047,0.01353703],"genre_scores_gemma":[0.8331719,0.0009498392,0.05476783,0.0001489367,0.00009086103,0.0004184099,0.1069257,0.0006115835,0.002914902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288145,"threshold_uncertainty_score":0.02561295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008239717959233,"score_gpt":0.3117678684043298,"score_spread":0.2916854712247375,"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."}}