{"id":"W4405232983","doi":"10.1002/9781683674849.cmph0025","title":"Specimen Selection, Collection, and Transport for Anaerobic Culture","year":2023,"lang":"en","type":"other","venue":"ClinMicroNow","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Selection (genetic algorithm); Anaerobic exercise; Computer science; Biology; Artificial intelligence","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":[0.0001190035,0.0001633525,0.0001696511,0.00005983931,0.00009032887,0.00002576231,0.00007951513,0.0003710882,0.0001503002],"category_scores_gemma":[0.00005159244,0.0001714823,0.00007712932,0.00009731203,0.00005144495,0.000001446748,0.00001584375,0.00007019548,0.00002306864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001723166,"about_ca_system_score_gemma":0.00006201202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009323048,"about_ca_topic_score_gemma":0.004629861,"domain_scores_codex":[0.9991565,0.00001947268,0.0001881756,0.0004523721,0.00003556924,0.0001478679],"domain_scores_gemma":[0.9995751,0.000007009908,0.00011091,0.0001820612,0.00007325771,0.0000516765],"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":[0.00002394467,0.00002443304,0.00153306,0.00006750545,0.00008799111,1.806353e-7,0.00004135927,4.380699e-7,0.1494976,0.00001849166,0.8481123,0.000592693],"study_design_scores_gemma":[0.0003707238,0.00009366855,0.002305412,0.00003212714,0.00004796581,0.000004391432,0.00002945206,0.000004389028,0.006417572,0.00002202565,0.9904621,0.0002102126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2967727,0.02840277,0.05362998,0.004480743,0.03656148,0.0326733,0.008293534,0.01119999,0.5279855],"genre_scores_gemma":[0.003113236,0.0006982135,0.002518946,0.00008109785,0.001210685,0.00007520507,0.0008020647,0.0004472167,0.9910533],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4630679,"threshold_uncertainty_score":0.6992844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399171560993303,"score_gpt":0.2691945093228792,"score_spread":0.2552027937129462,"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."}}