{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001711371,0.00006981579,0.000299102,0.00006481809,0.00001818669,0.000008334525,0.00003681799,0.00004783772,0.00009308416],"category_scores_gemma":[0.00005898951,0.00005732026,0.0004350991,0.0001487215,0.00002198123,0.00001323119,0.00004476594,0.00008773839,0.0018675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003063396,"about_ca_system_score_gemma":0.0000460441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.413011e-7,"about_ca_topic_score_gemma":1.355543e-7,"domain_scores_codex":[0.9994215,0.00004519926,0.00008930641,0.0002238096,0.00007473905,0.0001453805],"domain_scores_gemma":[0.9995008,0.00001693863,0.000003196589,0.0002898367,0.00003432877,0.0001549536],"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":[0.00009471899,0.00003495595,0.01202941,0.001432847,0.004956844,0.003966114,0.0001931913,0.00006553979,0.007992228,0.00494017,0.6555496,0.3087444],"study_design_scores_gemma":[0.0001419691,0.0000665637,0.01535638,0.0001377056,0.0006301661,0.0002437476,0.00001556762,0.00001081577,0.0002494428,0.00004155694,0.9830357,0.00007031669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3015308,0.3989036,0.01575871,0.01025856,0.008100972,0.002093075,0.00003703409,0.0008325626,0.2624847],"genre_scores_gemma":[0.9920051,0.0009886335,0.0001962406,0.001673577,0.001597167,0.00005480308,0.00002532833,0.00001777768,0.003441381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6904743,"threshold_uncertainty_score":0.9989097,"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."}}