{"id":"W4394454943","doi":"10.6084/m9.figshare.21321607","title":"Additional file 3 of Data-driven identification of plasma metabolite clusters and metabolites of interest for potential detection of early-stage non-small cell lung cancer cases versus cancer-free controls","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Metabolite; Identification (biology); Cancer; Lung cancer; Stage (stratigraphy); Computational biology; Chemistry; Biology; Cancer research; Oncology; Internal medicine; Medicine; Biochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00145692,0.001679186,0.001607178,0.001913953,0.0007628066,0.001873316,0.002038032,0.001750903,0.3492995],"category_scores_gemma":[0.01121815,0.000502166,0.001319365,0.002695056,0.0003495106,0.0009064858,0.001326041,0.00128827,0.06665777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111723,"about_ca_system_score_gemma":0.00185516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009113706,"about_ca_topic_score_gemma":0.01822371,"domain_scores_codex":[0.9992169,0.0001240827,0.0001022779,0.0003201881,0.0001231927,0.0001133002],"domain_scores_gemma":[0.9945576,0.003469117,0.0004337681,0.0005284473,0.0007241547,0.000286866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006472353,0.0001247639,0.006036076,0.003153877,0.0001890751,0.00009123338,0.00003966296,0.0007494186,0.0004013132,0.0004660968,0.9836622,0.004439223],"study_design_scores_gemma":[0.00541886,0.0002820211,0.03967096,0.001900658,0.0005493305,0.0005536753,0.0002440412,0.003110602,0.001960635,0.00725366,0.9389169,0.0001387646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001275628,0.00001576157,0.00006533045,0.00002534851,0.000007212629,0.00001643107,0.9995174,0.0001024313,0.0001224193],"genre_scores_gemma":[0.001661468,0.00003360775,0.0006738238,0.0001115235,0.00001422323,0.000295624,0.9963037,0.0001173256,0.0007888139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3492995,"threshold_uncertainty_score":0.9281453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430676907960202,"score_gpt":0.3136769243740474,"score_spread":0.2693701552944454,"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."}}