{"id":"W6907826767","doi":"10.25345/c5gx44w4x","title":"MassIVE MSV000088953 - Qtof_DIA_NEG_MZML_WS_metabolomics_annotation","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001272532,0.004631598,0.002667472,0.004835927,0.001901539,0.003259553,0.004625198,0.003554505,0.1029024],"category_scores_gemma":[0.004374646,0.001297589,0.002600645,0.006162972,0.0006914384,0.001481016,0.002868643,0.002030348,0.1211031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657652,"about_ca_system_score_gemma":0.003533966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325886,"about_ca_topic_score_gemma":0.04162072,"domain_scores_codex":[0.99871,0.0001546384,0.0001102742,0.0004516492,0.0003346352,0.0002387239],"domain_scores_gemma":[0.9983864,0.0004968327,0.0001426394,0.0004135339,0.0003453802,0.0002152514],"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":[0.0002919472,0.00003521335,0.0009513624,0.001266085,0.0001132388,0.00006596481,0.00005034531,0.0005955989,0.002125407,0.0009193498,0.9902417,0.003343886],"study_design_scores_gemma":[0.0006524734,0.00004672421,0.00462491,0.0003388353,0.0002026499,0.0001610457,0.00009010357,0.001773218,0.003638391,0.003811527,0.9845505,0.0001095183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002465029,0.0001128372,0.0002507623,0.00006456416,0.00003804563,0.00001365349,0.996491,0.001674911,0.001107679],"genre_scores_gemma":[0.0005055681,0.00006576051,0.0008122915,0.000067361,0.000006599739,0.00005629941,0.9975861,0.0003101657,0.0005898322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1029024,"threshold_uncertainty_score":0.344243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742098115281826,"score_gpt":0.2711715001814161,"score_spread":0.2537505190285978,"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."}}