{"id":"W6945414817","doi":"10.25345/c55h88","title":"MassIVE MSV000085428 - Queen spermathecal fluid proteomics to investigate proteins underlying variation in stored sperm viability","year":2020,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sperm; Proteomics; Queen (butterfly); Variation (astronomy); Sperm competition","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"],"consensus_categories":[],"category_scores_codex":[0.0002670865,0.0005301794,0.0005407128,0.0001314542,0.0001017403,0.00009387844,0.0005878308,0.0007128756,0.00007855408],"category_scores_gemma":[0.0004163114,0.0005506609,0.0001774195,0.0002370096,0.0001199974,0.00001058134,0.0002413491,0.0005356391,0.0001086736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188609,"about_ca_system_score_gemma":0.0004261828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009924371,"about_ca_topic_score_gemma":0.001727893,"domain_scores_codex":[0.9973353,0.0002352581,0.0006216305,0.00102148,0.0002968529,0.0004894355],"domain_scores_gemma":[0.9985865,0.00002169103,0.0001980417,0.0007898388,0.00009204268,0.0003118628],"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":[0.0003553681,0.0002228532,0.0002882378,0.0003357338,0.00008644947,0.0000369046,0.0002608646,0.0002048073,0.4897807,0.00001460657,0.5082632,0.0001502713],"study_design_scores_gemma":[0.001912904,0.001200604,0.003327096,0.0002729535,0.0001359885,0.00001057319,0.00008091442,0.0003598327,0.09582719,0.0004451635,0.8947755,0.001651279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1704841,0.0000729087,0.002061455,0.0006369337,0.0006046021,0.003575888,0.8224359,0.00004814022,0.00008000982],"genre_scores_gemma":[0.04807459,0.00007840633,0.004217001,0.001510834,0.0008321801,0.0003488198,0.9447543,0.0001025332,0.00008130391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3939535,"threshold_uncertainty_score":0.9996945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02776041138020087,"score_gpt":0.2571603624441072,"score_spread":0.2293999510639063,"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."}}