{"id":"W7095404136","doi":"","title":"STRESS ENVIRONNEMENTAUX PAR UNE APPROCHE PROTÉOMIQUE","year":2015,"lang":"en","type":"article","venue":"","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stress (linguistics); Subject (documents); MEDLINE; Clinical Practice","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008551214,0.0003609472,0.0003035233,0.0001569874,0.000900729,0.0009465187,0.0002412079,0.0006328847,0.005483772],"category_scores_gemma":[0.001510705,0.0001374882,0.0003513848,0.000177121,0.0005507943,0.0002865359,0.0006079261,0.0006955668,0.0006845477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006865551,"about_ca_system_score_gemma":0.001528201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00501377,"about_ca_topic_score_gemma":0.008645257,"domain_scores_codex":[0.9996511,0.0001517715,0.00001082901,0.00005144937,0.00007464196,0.00006020883],"domain_scores_gemma":[0.9996238,0.00008515664,0.00004686629,0.0000296667,0.000103804,0.0001107385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01634038,0.008222934,0.04873164,0.001276783,0.0005590699,0.002722266,0.0159961,0.002490104,0.262855,0.007068087,0.02049306,0.6132446],"study_design_scores_gemma":[0.002360012,0.0649216,0.5138103,0.001060432,0.0006875872,0.003734053,0.01835145,0.006811809,0.08475757,0.01653861,0.2866813,0.000285343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733694,0.004360419,0.003647286,0.007392485,0.0009656005,0.0001503027,0.00006985807,0.00008992754,0.009954675],"genre_scores_gemma":[0.9686947,0.003752773,0.003313403,0.001222388,0.0002845469,0.000121476,0.0000637517,0.00001617458,0.02253076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005483772,"threshold_uncertainty_score":0.01834506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06402215821041449,"score_gpt":0.2823761177429924,"score_spread":0.2183539595325779,"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."}}