{"id":"W6963516722","doi":"10.18739/a24q7qs1s","title":"Aerosol Measurements at Utqiagvik, Alaska, from 2022 to 2027 for Sustaining The Utqiagvik Aerosol Record of Decades (STUARD)","year":2025,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Arctic; Cloud condensation nuclei; Climate change; The arctic; Sea ice; Table (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002278334,0.0006094721,0.0007589411,0.0001631686,0.0004531965,0.0004225967,0.001490507,0.000363912,0.003505295],"category_scores_gemma":[0.0004269881,0.0004483561,0.0003880304,0.0004508885,0.0002326616,0.0006505601,0.0004710728,0.0004720024,0.000367191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003323401,"about_ca_system_score_gemma":0.0004897628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000381121,"about_ca_topic_score_gemma":0.00027845,"domain_scores_codex":[0.996838,0.0000918899,0.0008774514,0.0007238325,0.0006895855,0.0007792319],"domain_scores_gemma":[0.996951,0.001337942,0.0004236345,0.0008628585,0.00008547013,0.000339138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003967498,0.00004199496,0.03125441,0.0002004602,0.000203287,0.00001164372,0.00004197046,0.00008618458,0.000001393897,0.000001212415,0.9572222,0.01053853],"study_design_scores_gemma":[0.0004464028,0.0002287975,0.0003658087,0.0003403641,0.0001787468,0.000004835234,0.0004468045,0.0001966068,0.00008908555,0.0003447625,0.9967893,0.0005685036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006454614,0.000468953,0.0001370939,0.0008595653,0.0008553078,0.001112888,0.9884173,0.00006229403,0.00163194],"genre_scores_gemma":[0.006494671,0.0002319561,0.0005125806,0.002108125,0.0004573776,0.00003679002,0.9876412,0.0000224639,0.00249486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03956712,"threshold_uncertainty_score":0.9997968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583468846985048,"score_gpt":0.2176029295922521,"score_spread":0.2017682411224016,"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."}}