{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005803435,0.0004528737,0.0001554093,0.0008576706,0.0006488375,0.0002336161,0.0002219638,0.0002535972,0.01084116],"category_scores_gemma":[0.0001778158,0.0001289578,0.0001173467,0.0003615161,0.0002490382,0.0004677626,0.0006937489,0.0001588259,0.00318519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003150717,"about_ca_system_score_gemma":0.0002256546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005258792,"about_ca_topic_score_gemma":0.01152762,"domain_scores_codex":[0.9999491,0.000003752242,0.000004212387,0.00002016671,0.00001366181,0.00000913748],"domain_scores_gemma":[0.9999397,0.000006128585,0.00002523387,0.000006754604,0.00001298559,0.00000918296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005532681,0.0002131798,0.1617476,0.0008085357,0.00009841502,0.005724149,0.001665682,0.00092558,0.1958988,0.004196091,0.01738704,0.6107816],"study_design_scores_gemma":[0.0000746447,0.0005370246,0.7338857,0.0002962018,0.00008762828,0.01676915,0.00121688,0.0007544595,0.009725252,0.001564477,0.2350575,0.00003120412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018669,0.005887921,0.004012703,0.0003606692,0.0001461649,0.0001530647,0.002819929,0.0005758964,0.1841767],"genre_scores_gemma":[0.9678273,0.001726171,0.001972799,0.0001743849,0.00004117963,0.00004782582,0.001397323,0.00001919792,0.02679383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084116,"threshold_uncertainty_score":0.03626728,"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."}}