{"id":"W4396942493","doi":"","title":"Démêler les fonctions du microbiote par métaprotéomique","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library of Parliament","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008086452,0.0005919876,0.0007376619,0.0003281664,0.0002160462,0.0008054387,0.000245989,0.0008491692,0.0103647],"category_scores_gemma":[0.00112543,0.0001351677,0.000680177,0.0002315941,0.0002555606,0.0003496384,0.0002115321,0.0006161938,0.0009535122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464724,"about_ca_system_score_gemma":0.0003506249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009935214,"about_ca_topic_score_gemma":0.001096151,"domain_scores_codex":[0.9997206,0.0001346622,0.00001431134,0.00004475442,0.00003823611,0.0000473873],"domain_scores_gemma":[0.999673,0.0001514967,0.00004988243,0.00002185535,0.00005135041,0.00005236814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.04034463,0.001228938,0.01273602,0.001851919,0.001002399,0.00059441,0.000193893,0.0004667678,0.6761096,0.000936668,0.001666706,0.2628681],"study_design_scores_gemma":[0.003770718,0.08696018,0.2365327,0.001009254,0.004589289,0.002556239,0.001110317,0.001607315,0.5926951,0.002684059,0.06638817,0.00009663009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8403509,0.1438294,0.002642631,0.003561196,0.0009382506,0.0001285048,0.0006896973,0.0001100054,0.007749463],"genre_scores_gemma":[0.9483153,0.03546124,0.002543227,0.001503312,0.0006795427,0.0001139957,0.0003542294,0.00003642285,0.01099275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0103647,"threshold_uncertainty_score":0.03467339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863503288532931,"score_gpt":0.2442253192006801,"score_spread":0.2255902863153508,"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."}}