{"id":"W4402423654","doi":"10.24908/iqurcp17981","title":"Spatiotemporal Analysis of Secondary Metabolites Produced by S.coelicolor Using Automated Sampling Mass Spectrometry","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Mass spectrometry; Sampling (signal processing); Streptomyces coelicolor; Chemistry; Chromatography; Computer science; Biochemistry; Detector","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002303198,0.0003667832,0.0003778632,0.0006574221,0.0002081659,0.0005027619,0.0002314559,0.0004312949,0.0004828483],"category_scores_gemma":[0.0002167207,0.0001659229,0.0003643672,0.0006829681,0.0002488514,0.0002735568,0.0002920389,0.0004609399,0.0003224064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002701052,"about_ca_system_score_gemma":0.0002609942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741154,"about_ca_topic_score_gemma":0.002410904,"domain_scores_codex":[0.9997194,0.00002037715,0.00001698229,0.00009519957,0.0001140161,0.00003400809],"domain_scores_gemma":[0.9997727,0.00004693675,0.00006702259,0.00001688217,0.00007426902,0.00002226972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007458856,0.00002317863,0.001293666,0.00008985735,0.000006835755,0.00004904913,0.00004401665,0.0001572387,0.9949312,0.00005120191,0.00006947181,0.003209688],"study_design_scores_gemma":[0.000009808186,0.0003283145,0.02189059,0.00002024973,0.00003065615,0.0001403345,0.0001323131,0.006135167,0.9684647,0.00009212547,0.002728195,0.00002751272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616352,0.001743312,0.02809652,0.0001633008,0.0000565288,0.000166516,0.004268379,0.0007243039,0.003145963],"genre_scores_gemma":[0.9269243,0.002449322,0.06384654,0.0001848784,0.00003148697,0.0003201379,0.002661203,0.0000987116,0.003483373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001741154,"threshold_uncertainty_score":0.003462076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08287643799577188,"score_gpt":0.3919453870461796,"score_spread":0.3090689490504077,"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."}}