{"id":"W6927192730","doi":"10.26023/k15m-xs6n-5b0e","title":"NRC Convair 580 Aerosol Data. Version 1.0","year":2020,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Aerosol; Supersaturation; Inlet; Icing; NetCDF; Temporal resolution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00111411,0.00250261,0.001508008,0.002759201,0.0008033128,0.00172249,0.00316741,0.002070185,0.02560771],"category_scores_gemma":[0.002344597,0.0007405702,0.001371623,0.005069278,0.0004414128,0.001276022,0.001515119,0.001611427,0.05412349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403319,"about_ca_system_score_gemma":0.002144806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04408083,"about_ca_topic_score_gemma":0.06068086,"domain_scores_codex":[0.999073,0.0001187397,0.0001151596,0.0002660396,0.0002927574,0.000134213],"domain_scores_gemma":[0.9990049,0.0001350376,0.0001102632,0.0002923971,0.0003541203,0.0001032046],"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":[0.0001088671,0.00005026937,0.001705461,0.001179476,0.00009787825,0.00006299962,0.00003306863,0.001109092,0.0006590477,0.0005775811,0.9901399,0.004276372],"study_design_scores_gemma":[0.0002557099,0.00003131588,0.007959042,0.0001899481,0.00005307154,0.00009651665,0.00006529162,0.001298274,0.001235499,0.00100758,0.9877564,0.00005144311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001997443,0.00006095205,0.00008478599,0.00003013929,0.00001457188,0.0000111921,0.9987042,0.0004487686,0.0004455868],"genre_scores_gemma":[0.000390502,0.00003598597,0.0002889298,0.00001970424,0.000003846781,0.00003410854,0.99889,0.00006509999,0.0002718389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9559191,"threshold_uncertainty_score":0.08764851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541681903197097,"score_gpt":0.2601684509247026,"score_spread":0.2247516318927316,"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."}}