{"id":"W2167278195","doi":"10.1093/icb/icu054","title":"A Beginner's Guide to Nutritional Profiling in Physiology and Ecology","year":2014,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Organism; Biology; Profiling (computer programming); Ecology; Phenotype; Physiology; Computer science; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001887814,0.0001913428,0.0003997039,0.0001215105,0.00007424907,0.000008758858,0.00008991668,0.0001215485,0.00001159161],"category_scores_gemma":[0.0001335275,0.0001462131,0.00003234886,0.00009951522,0.000283579,0.000003405479,0.0001607637,0.0001157135,0.000004912914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001136838,"about_ca_system_score_gemma":0.00002422457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003024073,"about_ca_topic_score_gemma":0.0004586295,"domain_scores_codex":[0.9988076,0.0002303337,0.0002128234,0.0004763084,0.00002670849,0.0002462146],"domain_scores_gemma":[0.999567,0.00009713195,0.00005792047,0.0001130678,0.00009805655,0.00006681451],"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":[0.0001999573,0.00006406818,0.0279748,0.000006703468,0.00007246476,5.81283e-7,0.0001788834,0.0000042069,0.8606641,0.1093443,0.0008871751,0.0006028178],"study_design_scores_gemma":[0.003187095,0.005623085,0.2637891,0.00003340942,0.00003020439,0.0000532112,0.002136523,0.0004451297,0.3712547,0.02405958,0.3285228,0.0008652278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929376,0.0008344378,0.002105164,0.0005409599,0.00009791988,0.0002356088,0.00002794792,0.00000570481,0.003214713],"genre_scores_gemma":[0.9945273,0.0002948185,0.003846031,0.0007739708,0.0001469401,0.0001161223,0.00007215315,0.000005150029,0.0002175118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4894094,"threshold_uncertainty_score":0.5962398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973663055724345,"score_gpt":0.311009553334922,"score_spread":0.2912729227776786,"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."}}