{"id":"W4394614872","doi":"10.1007/s11004-024-10140-x","title":"And the 2024 Krumbein Medalist of the IAMG is…","year":2024,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geology; Hydrogeology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009753666,0.00008077677,0.0003409626,0.00002675696,0.000077818,0.00006746582,0.0001431039,0.00003573261,0.0004536126],"category_scores_gemma":[0.0004609132,0.00002803581,0.0002527282,0.0003267511,0.001368904,0.0000358427,0.00006757297,0.0001103751,0.00004461369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005559242,"about_ca_system_score_gemma":0.00004920108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002123303,"about_ca_topic_score_gemma":0.000001775886,"domain_scores_codex":[0.9989539,0.00005975656,0.0002125021,0.0001558563,0.000477968,0.000139961],"domain_scores_gemma":[0.9985165,0.001164455,0.00002315976,0.0002142702,0.00001910168,0.000062542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002373775,0.00003484651,0.001557863,0.0003634108,0.00003938783,0.0000196566,0.001981637,1.682281e-7,0.0001078424,0.9915585,0.001581672,0.002731292],"study_design_scores_gemma":[0.002513008,0.0002673861,0.04947431,0.001985359,0.001232522,0.001954394,0.00587375,0.02220022,0.002750835,0.2985194,0.6127119,0.0005169288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4693555,0.004958784,0.000563131,0.1593021,0.0009236746,0.0008932556,0.00001064497,0.0000832735,0.3639097],"genre_scores_gemma":[0.9525441,0.00007344875,0.0002630794,0.001302616,0.0000660244,0.00001339205,1.420613e-7,0.000005910712,0.04573129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6930391,"threshold_uncertainty_score":0.5043783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170726557827123,"score_gpt":0.2755452666995899,"score_spread":0.2638380011213187,"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."}}