{"id":"W1581986734","doi":"","title":"UPDATE FOR USERS OF THE METHANOL DATABASE: RECENT IMPROVEMENTS, REMAINING PROBLEMS, AND MORE COMPLICATED REGIONS","year":2009,"lang":"en","type":"article","venue":"The Knowledge Bank (The Ohio State University)","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jet propulsion; National laboratory; Library science; Institution; SAINT; Engineering; Database; Engineering physics; Political science; Computer science; Computer security; Aerospace engineering; Law","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":[0.004960472,0.001043788,0.001967613,0.01486883,0.001032588,0.006522882,0.004102375,0.001816504,0.06022217],"category_scores_gemma":[0.04513854,0.0007147912,0.001177367,0.01545363,0.0004287956,0.00806653,0.003267117,0.001627128,0.0355767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627512,"about_ca_system_score_gemma":0.004952068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364303,"about_ca_topic_score_gemma":0.01844133,"domain_scores_codex":[0.9969568,0.000460839,0.000978526,0.0003180394,0.001105462,0.0001801769],"domain_scores_gemma":[0.9678151,0.00699868,0.00299256,0.008142358,0.01255594,0.001495387],"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":[0.000572812,0.00007170021,0.00777627,0.001123187,0.0001640672,0.0001996143,0.0001535733,0.0004300138,0.0005720829,0.002073252,0.8074199,0.1794435],"study_design_scores_gemma":[0.0002250775,0.00003260145,0.008590248,0.0005484303,0.0002905362,0.0004754849,0.0001498656,0.001603768,0.001850756,0.002481748,0.9836642,0.00008730386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01444223,0.01235982,0.03770467,0.02048104,0.003735343,0.0007936367,0.8066803,0.06168202,0.04212094],"genre_scores_gemma":[0.04574748,0.008391947,0.06401183,0.004865764,0.00184789,0.0007034858,0.8483018,0.008407122,0.01772271],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06022217,"threshold_uncertainty_score":0.2014632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1832085904331337,"score_gpt":0.3457755134962001,"score_spread":0.1625669230630664,"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."}}