{"id":"W7095081523","doi":"","title":"arrangement with Health Canada’s Health Protection Branch.","year":2016,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Health protection; Public health; Government (linguistics); Data Protection Act 1998; Health policy","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":["insufficient_payload"],"category_scores_codex":[0.004144992,0.0006408292,0.0007625503,0.001789025,0.006455916,0.004577215,0.001703359,0.004014941,0.408164],"category_scores_gemma":[0.007975264,0.0004498857,0.000615191,0.002285114,0.001275599,0.001911839,0.002282333,0.003136715,0.115116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01398895,"about_ca_system_score_gemma":0.08497472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6120901,"about_ca_topic_score_gemma":0.7360679,"domain_scores_codex":[0.9951602,0.0003312335,0.00009643452,0.0007154199,0.002543166,0.001153675],"domain_scores_gemma":[0.9764227,0.001094173,0.0003610922,0.001029871,0.01119067,0.009901451],"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":[0.0001045764,0.00003903452,0.0009420023,0.00002495395,0.00001033209,0.00007299977,0.00006082282,0.00003746406,0.0002376323,0.004234039,0.9754059,0.01883024],"study_design_scores_gemma":[0.00003898397,0.00002213958,0.002826408,0.00003426123,0.00000927981,0.00006066821,0.0002612956,0.000218588,0.0002477212,0.001105069,0.9951614,0.00001412718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005010529,0.003196352,0.005671076,0.3206166,0.01889814,0.001230482,0.03207567,0.002654116,0.6106471],"genre_scores_gemma":[0.009085381,0.0003684555,0.001443638,0.01054294,0.0006144882,0.00008588372,0.003342025,0.000245986,0.9742712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6120901,"threshold_uncertainty_score":0.8441822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157990974863538,"score_gpt":0.2436678579494508,"score_spread":0.227868760463097,"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."}}