{"id":"W2514957173","doi":"10.17269/cjph.107.5720","title":"Response to Bandara Letter","year":2016,"lang":"en","type":"letter","venue":"Canadian Journal of Public Health","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007998278,0.001134448,0.002406748,0.001388489,0.01481715,0.01214036,0.004320778,0.1167645,0.02877655],"category_scores_gemma":[0.04566316,0.001691168,0.002580405,0.001078164,0.005258714,0.00463285,0.004393093,0.07450021,0.01877755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01084921,"about_ca_system_score_gemma":0.02078668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04291896,"about_ca_topic_score_gemma":0.0804607,"domain_scores_codex":[0.9909273,0.001436169,0.000798989,0.001403438,0.002712678,0.002721348],"domain_scores_gemma":[0.9863259,0.005922192,0.0009245076,0.000476835,0.002666679,0.003683901],"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":[0.00003363469,0.00001875447,0.0002286276,0.000027896,0.000009017051,0.0004254358,0.0002364954,0.00002135257,0.00007227134,0.003449307,0.9935634,0.0019138],"study_design_scores_gemma":[0.00005903421,0.00003785651,0.001297309,0.0003747525,0.00003520202,0.0003773655,0.001222449,0.000196047,0.0002406324,0.005716525,0.990364,0.0000789005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005678011,0.0007885228,0.00009320609,0.9574019,0.02720096,0.00005172099,0.0001189868,0.00005888635,0.01371799],"genre_scores_gemma":[0.00225385,0.0003140638,0.0001032428,0.9339219,0.007731788,0.00007458423,0.00002671371,0.00004043844,0.05553339],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1167645,"threshold_uncertainty_score":0.09626716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06787405736212453,"score_gpt":0.3365708585844495,"score_spread":0.268696801222325,"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."}}