{"id":"W7064211189","doi":"","title":"Automation of State Climate Office Processes &amp; Products: Developing Efficient Approaches for Data Dissemination","year":2019,"lang":"en","type":"article","venue":"Digital Commons - East Tennessee State University (East Tennessee State University)","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Centers for Environmental Information; National Oceanic and Atmospheric Administration; Egg Farmers of Canada; National Aeronautics and Space Administration","keywords":"Nucleofection; Gestational period; TSG101; Proteogenomics; Hyporeflexia; Articular cartilage damage; Diafiltration; Liquation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002450597,0.0005469525,0.0006217575,0.00052314,0.0004666003,0.0001806265,0.00128546,0.0000700304,0.00002029545],"category_scores_gemma":[0.00003844385,0.0006309624,0.0001668558,0.001680557,0.000277066,0.002087681,0.0010818,0.0002400814,0.00006291575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253524,"about_ca_system_score_gemma":0.0005801468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009508557,"about_ca_topic_score_gemma":0.00007393373,"domain_scores_codex":[0.9972349,0.00009217997,0.0004300804,0.00105906,0.0004054613,0.0007782838],"domain_scores_gemma":[0.9968461,0.0001864326,0.0007048325,0.001024526,0.001041724,0.0001963696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01748833,0.01768391,0.1559419,0.02709452,0.01013964,0.0003910128,0.08236373,0.1141097,0.01828666,0.2351397,0.006224233,0.3151367],"study_design_scores_gemma":[0.03242779,0.00155477,0.02500105,0.006194686,0.003219707,0.00007642985,0.2653397,0.2670831,0.02220732,0.007441538,0.3524547,0.01699929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7027186,0.00001631481,0.2829096,0.0002209852,0.0001391043,0.001233863,0.007814697,0.0001668065,0.004780086],"genre_scores_gemma":[0.989307,0.00001243254,0.001152635,0.000005917635,0.00002827104,0.000001586212,0.006269001,0.00006555908,0.003157537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3462304,"threshold_uncertainty_score":0.9996142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668944996584008,"score_gpt":0.2143389210456702,"score_spread":0.1876494710798301,"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."}}