{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005108694,0.000494641,0.0008144054,0.0001085583,0.0001877479,0.00008873744,0.0009870433,0.0005745597,0.001982403],"category_scores_gemma":[0.001822604,0.0004157744,0.0001027137,0.0005762593,0.0001206057,0.0002281298,0.0009813675,0.001205791,0.004471802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007487785,"about_ca_system_score_gemma":0.0009406441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496795,"about_ca_topic_score_gemma":0.0001288051,"domain_scores_codex":[0.9971088,0.0001400871,0.0004598238,0.001129306,0.0007284357,0.0004335926],"domain_scores_gemma":[0.996254,0.00009712078,0.0002844078,0.002490551,0.0005204508,0.0003534316],"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":[0.0001315936,0.00007494116,0.00001623323,0.001013525,0.0001352479,0.00025944,0.000009636592,1.828549e-7,0.02139414,5.226455e-7,0.9766182,0.0003463837],"study_design_scores_gemma":[0.0005731946,0.0001505391,0.0001507338,0.0005882047,0.0003965647,0.00001105567,0.00002088856,0.000008553798,0.01003212,4.615139e-7,0.9876294,0.0004382906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001159333,0.002234548,3.848359e-7,0.003199557,0.00141915,0.000512014,0.9912696,0.0001620205,0.00004331637],"genre_scores_gemma":[0.0003820778,0.001153214,0.0005305175,0.007304059,0.002178501,0.000001103902,0.9880282,0.00005596945,0.0003663711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01136202,"threshold_uncertainty_score":0.9998294,"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."}}