{"id":"W4404745327","doi":"10.1159/000542067","title":"Acknowledgement to Reviewers","year":2024,"lang":"en","type":"article","venue":"Cardiology","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Psychology; Computer science; Computer security","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":[0.02324872,0.002477171,0.002295542,0.007170945,0.004910818,0.01888954,0.00536193,0.00698775,0.2519247],"category_scores_gemma":[0.2410467,0.0009408363,0.001609216,0.004268501,0.002618333,0.01111015,0.008087642,0.008982066,0.1838509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007152491,"about_ca_system_score_gemma":0.01828385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003200295,"about_ca_topic_score_gemma":0.004246734,"domain_scores_codex":[0.9617038,0.01097637,0.004588607,0.005493627,0.01486763,0.00236993],"domain_scores_gemma":[0.7014506,0.02682213,0.01125803,0.01354591,0.2266842,0.02023916],"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":[0.00001658357,0.00000432463,0.00005444621,0.0001603957,0.000004341221,0.00005048848,0.0001576842,0.00001142529,0.00003511069,0.0009938107,0.9889937,0.0095177],"study_design_scores_gemma":[0.000008180806,0.000006365273,0.00009193732,0.0003758812,0.000005955076,0.0001406828,0.0003077948,0.00002385342,0.00003981777,0.0008267138,0.9981598,0.00001303282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0004354699,0.01317496,0.003834993,0.2479403,0.6654455,0.0007249463,0.002766266,0.001887412,0.06379023],"genre_scores_gemma":[0.01258971,0.01904618,0.008921294,0.2045083,0.2706318,0.00235014,0.005566418,0.004527415,0.4718588],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2519247,"threshold_uncertainty_score":0.8427721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579946455667256,"score_gpt":0.3162317035858751,"score_spread":0.3004322390292025,"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."}}