{"id":"W7052633289","doi":"","title":"Sulfur amino acid catabolism in a piglet model","year":2002,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methionine; Catabolism; Sulfur; Nitrogen balance; Excretion; Protein catabolism; Urinary system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003171697,0.0009441164,0.0008906825,0.0005923264,0.0003276366,0.0001062899,0.000740101,0.0009110175,0.0001583569],"category_scores_gemma":[0.000128992,0.001113619,0.0002777395,0.0008314163,0.00003616015,0.0008843789,0.00005757414,0.00199402,0.0004606546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006924959,"about_ca_system_score_gemma":0.00003337614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002026548,"about_ca_topic_score_gemma":0.003100573,"domain_scores_codex":[0.9961245,0.0000966661,0.0009583701,0.0008880142,0.0006150434,0.001317394],"domain_scores_gemma":[0.9984009,0.00005319483,0.0001762715,0.0008304899,0.00013218,0.0004069761],"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":[0.0002356846,0.0005945393,0.0002058417,0.0009408506,0.0004418773,0.0004296069,0.00009586915,0.04596594,0.7296723,0.04779202,0.0002763148,0.1733492],"study_design_scores_gemma":[0.003534656,0.0001473578,0.00301523,0.0005601881,0.0003039979,0.00004095811,0.0002272994,0.09626202,0.8387944,0.01273946,0.04001026,0.004364174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373019,0.001493305,0.00000116606,0.000005599966,0.0008035151,0.0004913865,0.0007382433,0.0006034606,0.05856137],"genre_scores_gemma":[0.9946919,0.0009565639,0.0002639206,0.0001134067,0.00006497128,0.0002475387,0.0006713287,0.0003584356,0.002631946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168985,"threshold_uncertainty_score":0.9991314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493697288633534,"score_gpt":0.215235581639309,"score_spread":0.2002986087529736,"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."}}