{"id":"W6964518905","doi":"10.25345/c5qw00","title":"MassIVE MSV000088560 - Bottom-up MS of soluble MAC released from bacteria","year":2021,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"","keywords":"Bacteria; Escherichia coli; Lactic acid; Yield (engineering); Component (thermodynamics)","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":[0.0009500653,0.002827585,0.002066652,0.003192557,0.0009730885,0.002093985,0.002912447,0.002824411,0.03694895],"category_scores_gemma":[0.003787138,0.0007536989,0.001693022,0.003978631,0.0004072477,0.001136428,0.001789034,0.001436807,0.04971982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009609134,"about_ca_system_score_gemma":0.002077688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0166242,"about_ca_topic_score_gemma":0.03337294,"domain_scores_codex":[0.9990107,0.00009685974,0.00007807863,0.0003842428,0.0002591775,0.0001709165],"domain_scores_gemma":[0.9985244,0.0003973132,0.0001685576,0.0003937784,0.0003152316,0.0002007808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005364163,0.0000566025,0.002610784,0.00155183,0.0001809022,0.00006627121,0.00004662406,0.0006512796,0.002176158,0.0005789698,0.9874496,0.004094543],"study_design_scores_gemma":[0.001213871,0.0001403226,0.01941929,0.0004981644,0.0003027791,0.0002252238,0.0001621442,0.002750906,0.005562304,0.004580532,0.9650179,0.0001266257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005473948,0.0001294035,0.00008852484,0.0000397825,0.00003035074,0.000007370484,0.9976419,0.001035019,0.000480391],"genre_scores_gemma":[0.0008820074,0.00005361533,0.000402557,0.00004596842,0.0000085759,0.00002680021,0.9981048,0.0001286284,0.0003471195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03694895,"threshold_uncertainty_score":0.1236066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009895461222166963,"score_gpt":0.216790033192152,"score_spread":0.206894571969985,"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."}}