{"id":"W7029057362","doi":"","title":"Harrison Cleary Named CoSIDA Academic All-District","year":2020,"lang":"en","type":"other","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athletic Edge Sports Medicine","funders":"","keywords":"","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009530789,0.0004576021,0.0007640384,0.000192569,0.0001253862,0.00001368895,0.001240474,0.0009505462,0.0005589423],"category_scores_gemma":[0.00009284449,0.0005850875,0.0004839843,0.0003014611,0.0007290602,0.00003338041,0.0009577549,0.0004034121,0.00008847874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003689923,"about_ca_system_score_gemma":0.0001682162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003458497,"about_ca_topic_score_gemma":0.000341827,"domain_scores_codex":[0.9980899,0.0001018264,0.000241236,0.0008377606,0.0003057487,0.0004235423],"domain_scores_gemma":[0.9983491,0.00006202301,0.0006843455,0.0004938772,0.0001308087,0.0002798728],"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":[0.000887433,0.0002436359,0.007078941,0.000436604,0.0007505477,0.0003125919,0.0002492787,0.000005363036,0.01964817,0.0001188599,0.9614972,0.008771334],"study_design_scores_gemma":[0.001457436,0.0005576792,0.001302713,0.0002535454,0.0001940239,0.00001971594,0.001895173,0.00005185424,0.0005358311,0.00001409528,0.9930678,0.0006501157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6178278,0.005759014,0.002720254,0.003439657,0.0005542461,0.001516967,0.005598815,0.0004100586,0.3621731],"genre_scores_gemma":[0.6648427,0.005683828,0.004457501,0.0004096804,0.0004356912,1.739639e-7,0.004220779,0.000372032,0.3195776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0470149,"threshold_uncertainty_score":0.9996601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636640106466926,"score_gpt":0.1999719257587206,"score_spread":0.1836055246940514,"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."}}