{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000666697,0.0009289656,0.001046989,0.001050771,0.000477346,0.0002335938,0.001592785,0.0004803168,0.3402011],"category_scores_gemma":[0.0006090128,0.001037122,0.0004623777,0.001034884,0.0001978062,0.0002418743,0.0008159546,0.00159592,0.02068403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006243439,"about_ca_system_score_gemma":0.0004239311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803874,"about_ca_topic_score_gemma":0.0005669951,"domain_scores_codex":[0.9948764,0.0005531238,0.0008824476,0.001339117,0.001397833,0.0009510453],"domain_scores_gemma":[0.9960277,0.0003102706,0.001113012,0.002051869,0.000192942,0.0003041906],"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":[0.0001015645,0.0002610587,0.00002617697,0.00009003725,0.0002683811,0.0002444818,0.00004906137,0.0001021714,0.0001461363,0.0002334672,0.9979805,0.0004969506],"study_design_scores_gemma":[0.0008000216,0.0001263178,0.000264431,0.00003290812,0.0004458128,0.00001680584,0.0001577036,0.00002021836,0.0000558641,0.0005739817,0.9964176,0.001088352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003251865,0.001360929,0.000002734264,0.00007385825,0.002920015,0.0008761409,0.9930233,0.0002462409,0.00117161],"genre_scores_gemma":[0.00002992639,0.0003293054,0.0001864364,0.0006010801,0.0006748901,0.000495025,0.9965081,0.000305451,0.000869783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3195171,"threshold_uncertainty_score":0.9992079,"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."}}