{"id":"W2608585047","doi":"10.15407/rpra20.02.109","title":"SEVEN-DAY VARIATIONS IN THE ATMOSPHERIC AEROSOLS","year":2015,"lang":"en","type":"article","venue":"Radio physics and radio astronomy","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"AERONET; Precipitable water; Angstrom exponent; Aerosol; Physics; Atmospheric sciences; Astron; Angstrom; Sun photometer; Atmosphere (unit); Meteorology; Climatology; Water vapor; Astrophysics; Chemistry; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003223458,0.0001615247,0.0001674645,3.84876e-7,0.0001339412,0.00006387509,0.0002533502,0.00004218551,0.000117403],"category_scores_gemma":[0.000006075079,0.0001170594,0.00004991527,0.0002565524,0.0001629223,0.0002190022,0.00007501336,0.0001545847,0.00009025296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214596,"about_ca_system_score_gemma":0.00003408487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002732625,"about_ca_topic_score_gemma":0.00002037658,"domain_scores_codex":[0.9989639,0.00008838945,0.0001704506,0.000265784,0.0002129817,0.0002984726],"domain_scores_gemma":[0.999477,0.00004825225,0.00007054625,0.0002724167,0.000004825467,0.00012691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000238943,0.0005250635,0.7956203,0.000006806625,0.00006278254,0.00001504723,0.01218614,0.0309469,0.0004482271,0.01082092,0.02144508,0.1278988],"study_design_scores_gemma":[0.002940921,0.000370282,0.7231627,0.00002415836,0.00009098625,0.00004414035,0.003398977,0.0359685,0.00009491868,0.007424438,0.2254655,0.00101443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9081432,0.000178818,0.07565118,0.0007046991,0.0001959122,0.0004074135,0.000005300471,0.00003147569,0.01468205],"genre_scores_gemma":[0.9878837,0.000008537097,0.01124892,0.0001517615,0.0002206336,0.00005199944,0.000006524298,0.00001492485,0.0004129739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2040205,"threshold_uncertainty_score":0.4773542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077909773626738,"score_gpt":0.210147832918372,"score_spread":0.1993687351821046,"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."}}