{"id":"W6950082701","doi":"10.5281/zenodo.5054677","title":"Peromyscopsylla selenis","year":2006,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coronary Artery Anomalies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorex; Peromyscus; Microtus; Shrew; Population","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":[0.0002610193,0.0001177716,0.000142079,0.0001521139,0.001142059,0.0002342317,0.0003028193,0.00004878245,0.02247077],"category_scores_gemma":[0.0001220197,0.0001208362,0.00005768541,0.0003258981,0.0001368573,0.0001705969,0.0003771215,0.000181716,0.01113709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001029371,"about_ca_system_score_gemma":0.000003601499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001587682,"about_ca_topic_score_gemma":2.999735e-7,"domain_scores_codex":[0.9987872,0.0001266257,0.0001993537,0.0003062329,0.0002867599,0.0002938839],"domain_scores_gemma":[0.9991341,0.00001432993,0.00005009246,0.0003774675,0.0003005331,0.0001234515],"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":[0.0003958047,0.0006660334,0.0003651898,0.0001952005,0.0000852099,0.0002108577,0.001000371,0.00003451958,0.0623266,0.01238695,0.793735,0.1285983],"study_design_scores_gemma":[0.0006414676,0.0003541554,0.01567758,0.00002979522,0.00002354496,0.000800199,0.0001454142,0.0001122492,0.001409542,0.0001696397,0.9805092,0.0001272391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4916235,0.0001476754,0.0008191116,0.002365028,0.00008071511,0.0004549914,0.00007541452,0.001332731,0.5031009],"genre_scores_gemma":[0.9900964,0.00002338807,0.0004114122,0.000193545,0.0002752993,2.043788e-8,0.001140043,0.0009151679,0.006944759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4984729,"threshold_uncertainty_score":0.9896328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202221634311206,"score_gpt":0.235840634030572,"score_spread":0.2138184176874599,"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."}}