{"id":"W6949075325","doi":"10.5281/zenodo.12321616","title":"hypertension artérielle secondaire pdf","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triglycerides blood; Metallurgical industry; Coronary heart disease","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003750526,0.0006522699,0.001094304,0.001288541,0.0008590266,0.003275197,0.0005376155,0.001452512,0.7151467],"category_scores_gemma":[0.002401218,0.0002562453,0.0007499219,0.0008086787,0.0003050966,0.001650028,0.001195382,0.002635499,0.4560152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006402831,"about_ca_system_score_gemma":0.0006538875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713779,"about_ca_topic_score_gemma":0.002021618,"domain_scores_codex":[0.9996691,0.00003597507,0.00002278251,0.0000462552,0.0001571757,0.00006873671],"domain_scores_gemma":[0.9985903,0.0003029851,0.00006470826,0.0001020027,0.00042254,0.0005173278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001225911,0.00005336603,0.0001574659,0.0001956189,0.000006640436,0.0009790596,0.00002206145,0.00003715703,0.0007201845,0.001213312,0.897733,0.09875958],"study_design_scores_gemma":[0.00005397684,0.00004941605,0.0009302622,0.000223261,0.000006417514,0.002342814,0.00003449553,0.0001072064,0.0005347715,0.0006881351,0.9950175,0.00001165829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001960272,0.01057498,0.002258568,0.008440113,0.01858006,0.0002064626,0.003851591,0.003523888,0.9506041],"genre_scores_gemma":[0.008695685,0.008388659,0.001011775,0.003621178,0.009702593,0.00006907656,0.002343924,0.0006990949,0.965468],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7151467,"threshold_uncertainty_score":0.4063086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291929959350436,"score_gpt":0.239069445286238,"score_spread":0.2098764493511944,"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."}}