{"id":"W7100835051","doi":"","title":"independent Canadian laboratories (the National Microbiology","year":2016,"lang":"en","type":"article","venue":"","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); MEDLINE; Clinical microbiology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007585231,0.002176718,0.001474743,0.005840861,0.008229121,0.005321114,0.00469988,0.004062967,0.112143],"category_scores_gemma":[0.01518827,0.001234226,0.001343459,0.004203386,0.004260459,0.0024599,0.005297797,0.006426096,0.04727081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01933667,"about_ca_system_score_gemma":0.05545864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5670499,"about_ca_topic_score_gemma":0.7168731,"domain_scores_codex":[0.9735202,0.003209229,0.0011096,0.003971071,0.01530444,0.002885544],"domain_scores_gemma":[0.9493117,0.002124807,0.00170057,0.003154671,0.03976408,0.003944215],"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":[0.0004986342,0.0001517666,0.01176644,0.001523687,0.000104126,0.001650082,0.001372833,0.0003447812,0.03256208,0.01509792,0.7662168,0.1687108],"study_design_scores_gemma":[0.0000295551,0.00004749776,0.005142082,0.000317257,0.00003165134,0.000880616,0.0007272825,0.0001985957,0.005032968,0.0009302116,0.9866135,0.00004871952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02021123,0.04417334,0.05606022,0.2633775,0.03790049,0.002645257,0.03200485,0.005160791,0.5384663],"genre_scores_gemma":[0.1226526,0.01817811,0.1045085,0.08956988,0.004501176,0.0008824786,0.01258358,0.001792121,0.6453315],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.887857,"threshold_uncertainty_score":0.8709996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245661816020104,"score_gpt":0.2071159105698224,"score_spread":0.1946592924096214,"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."}}