{"id":"W4406470526","doi":"10.1016/j.ccol.2020.07.011","title":"10.1016/j.ccol.2020.07.011","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metabolomics; Microbiome; Sepsis; Computational biology; Biology; Medicine; Data science; Bioinformatics; Computer science; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000525247,0.001217403,0.0005890134,0.002090392,0.001195225,0.002724055,0.001175412,0.003194915,0.9522409],"category_scores_gemma":[0.0008111282,0.0005069951,0.0006851148,0.001357606,0.0008570722,0.001912903,0.001213285,0.001330301,0.9559448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009235853,"about_ca_system_score_gemma":0.001070135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002827236,"about_ca_topic_score_gemma":0.002877077,"domain_scores_codex":[0.999799,0.0000156626,0.00001096113,0.00005685447,0.00005927036,0.00005834834],"domain_scores_gemma":[0.9991283,0.0001241584,0.00006183692,0.00007010757,0.0001590933,0.0004565802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002240088,0.0002146958,0.001385054,0.0004070908,0.00002208686,0.0002774759,0.00005030031,0.0002971756,0.001847229,0.006372937,0.3390287,0.6498733],"study_design_scores_gemma":[0.00003859675,0.00005822863,0.001298441,0.0002394981,0.00001357217,0.0007573946,0.00007330357,0.0001649057,0.0004589638,0.001911285,0.9949731,0.00001275824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001386954,0.002559445,0.002150264,0.002284569,0.000689812,0.00008955503,0.002263558,0.001421976,0.9871538],"genre_scores_gemma":[0.003145195,0.0008209923,0.001343299,0.0008363216,0.0002014662,0.00004923918,0.001804948,0.0002120373,0.9915866],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04775912,"threshold_uncertainty_score":0.06812257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003662595383155407,"score_gpt":0.1768742369527713,"score_spread":0.1732116415696159,"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."}}