{"id":"W6889070921","doi":"10.25345/c52t3j","title":"MassIVE MSV000085056 - Proteomics on spermathecal fluid of BC queens","year":2020,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteomics; Proteogenomics; Identification (biology); Genomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002692699,0.001035619,0.001467506,0.0004748635,0.0001082279,0.00007896138,0.001517853,0.0008132521,0.004169405],"category_scores_gemma":[0.0006785312,0.0009928518,0.000514561,0.000548358,0.0004033846,0.0001215138,0.0005809605,0.001455767,0.07106635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004184501,"about_ca_system_score_gemma":0.0004600653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003264273,"about_ca_topic_score_gemma":0.0003070386,"domain_scores_codex":[0.9954917,0.0003277418,0.001027089,0.001142136,0.001201334,0.0008100307],"domain_scores_gemma":[0.996251,0.0002041451,0.0009372334,0.001994854,0.0001831073,0.0004296928],"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":[0.0007077675,0.0003913197,0.00001272306,0.0005076485,0.0002976302,0.0004528438,0.0001028312,0.00003032435,0.002743098,0.0001627061,0.9945525,0.00003862925],"study_design_scores_gemma":[0.0008967767,0.0006899011,0.00006400295,0.0004657535,0.0003148167,0.00002056991,0.00005377521,0.00005248752,0.009171157,0.0001507316,0.9872058,0.0009142219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007443391,0.00008189634,0.000006011223,0.0000990337,0.0005064626,0.0017902,0.9951136,0.0001960087,0.00146249],"genre_scores_gemma":[0.000198141,0.0000691535,0.0005430705,0.0004195378,0.0009448343,0.0001404752,0.9971337,0.0003261378,0.0002249962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06689695,"threshold_uncertainty_score":0.9992522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211491145300854,"score_gpt":0.2676399433354774,"score_spread":0.2455250318824689,"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."}}