{"id":"W6944316343","doi":"10.18739/a2x05xf2d","title":"Aerosol Measurements at Utqiagvik, Alaska, from 2022 to 2027 for Sustaining The Utqiagvik Aerosol Record of Decades (STUARD)","year":2024,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","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; Sea ice; The arctic; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000915828,0.0005329491,0.0004486153,0.001471958,0.0008254896,0.001151507,0.001048909,0.0007881325,0.007847605],"category_scores_gemma":[0.001159275,0.0003128036,0.0005366553,0.002354315,0.0001342019,0.0009347185,0.0008850642,0.0007100269,0.006101681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013341,"about_ca_system_score_gemma":0.002840468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2622319,"about_ca_topic_score_gemma":0.3584962,"domain_scores_codex":[0.9996356,0.00002409043,0.00003933084,0.0000902102,0.0001545958,0.00005619159],"domain_scores_gemma":[0.9989787,0.00005001621,0.0001038049,0.000101709,0.000639559,0.0001261922],"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":[0.0003153552,0.0001942725,0.2194946,0.001069705,0.0003592834,0.0002884852,0.0004619947,0.003230922,0.001460926,0.001545797,0.7392519,0.03232689],"study_design_scores_gemma":[0.00009236728,0.00006979279,0.482713,0.0005798665,0.0001629441,0.0001197635,0.001320668,0.003487823,0.002235723,0.0006600581,0.5084804,0.00007757961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02330274,0.000607085,0.0003515134,0.0003460759,0.0002820358,0.00003909729,0.9669866,0.0004696973,0.007615257],"genre_scores_gemma":[0.05506678,0.0005043267,0.002769907,0.0001814647,0.00007733344,0.0001321009,0.9353236,0.0001354576,0.005809054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2622319,"threshold_uncertainty_score":0.5214111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05035619294064398,"score_gpt":0.3168753403935635,"score_spread":0.2665191474529195,"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."}}