{"id":"W4405516260","doi":"10.1159/000542271","title":"Acknowledgement to Reviewers","year":2024,"lang":"en","type":"article","venue":"Kidney & Blood Pressure Research","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Psychology; Biology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002360079,0.0002389146,0.0006732266,0.0005536665,0.0002632297,0.0001672249,0.000293151,0.0001467916,0.001862254],"category_scores_gemma":[0.001633196,0.000183233,0.0002034708,0.00124653,0.0001385958,0.0001049067,0.0005537841,0.0009184854,0.00400503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001094059,"about_ca_system_score_gemma":0.0005402004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004558407,"about_ca_topic_score_gemma":0.000005952755,"domain_scores_codex":[0.9963647,0.0002628763,0.0003625361,0.0007848642,0.001401238,0.000823823],"domain_scores_gemma":[0.9966347,0.0003290526,0.00001548586,0.0008621417,0.001073857,0.001084776],"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":[0.00007388942,0.0002594339,0.0002690808,0.002313419,0.002838686,0.0003839102,0.0006912819,5.243099e-7,0.007268424,0.0008275568,0.9695581,0.01551566],"study_design_scores_gemma":[0.0005270132,0.000414273,0.0002800307,0.002011877,0.003686475,0.00007204725,0.0000955713,0.00003148119,0.008281325,0.0001616361,0.9842513,0.0001869689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001267055,0.7085357,0.00002814752,0.08942561,0.001431725,0.002798386,0.00009091715,0.0005839446,0.1958386],"genre_scores_gemma":[0.6585851,0.01985041,0.003220815,0.02517352,0.005735295,0.001179888,0.00008503067,0.0002811779,0.2858888],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6886852,"threshold_uncertainty_score":0.9990502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0983505132016748,"score_gpt":0.4138647454801984,"score_spread":0.3155142322785235,"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."}}