{"id":"W6964113685","doi":"10.25345/c5000020d","title":"MassIVE MSV000088957 - Qtof_FS_POS_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":[0.0007544481,0.0009279664,0.001034698,0.001014763,0.0005000736,0.0002319835,0.001644521,0.0004782587,0.3285047],"category_scores_gemma":[0.0005572952,0.001028211,0.0004496447,0.0009872937,0.0002021827,0.0002380897,0.0008842567,0.001632025,0.0198693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000611583,"about_ca_system_score_gemma":0.0003982606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004682393,"about_ca_topic_score_gemma":0.0006263548,"domain_scores_codex":[0.9948769,0.0005587406,0.0009007375,0.001315278,0.001411056,0.0009373229],"domain_scores_gemma":[0.9959999,0.0002614652,0.001159554,0.002087896,0.000197853,0.0002933337],"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":[0.0001192294,0.0002533406,0.00001104753,0.00008991417,0.000288385,0.0002880782,0.00005160663,0.0001047672,0.000219408,0.000230387,0.9978514,0.0004923943],"study_design_scores_gemma":[0.0007661827,0.0001428975,0.0001641587,0.00003327298,0.0004792401,0.00002542738,0.0001234217,0.00002633458,0.0000767189,0.0005316568,0.9965486,0.001082115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002308175,0.001449615,0.000003807614,0.00006789685,0.002800892,0.0008459385,0.9928788,0.0002480088,0.001474213],"genre_scores_gemma":[0.00003933113,0.0002769933,0.0001473405,0.0005323989,0.0006699325,0.0004138098,0.9964748,0.0002981442,0.001147227],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3086354,"threshold_uncertainty_score":0.9992168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797395878871886,"score_gpt":0.2755266897752851,"score_spread":0.2575527309865662,"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."}}