{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006616443,0.0001569075,0.0004045767,0.0008843739,0.001351283,0.0002817978,0.000494516,0.0003423241,0.0010274],"category_scores_gemma":[0.001772407,0.0001160941,0.0001858765,0.0004173272,0.0003466397,0.000223125,0.00001485507,0.0009339155,0.00009343684],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002813068,"about_ca_system_score_gemma":0.04646761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05351195,"about_ca_topic_score_gemma":0.2527207,"domain_scores_codex":[0.9958377,0.001482847,0.0005383554,0.0001719858,0.0006055436,0.001363592],"domain_scores_gemma":[0.9956685,0.0003437897,0.0003954679,0.0002152028,0.0006495827,0.002727442],"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":[0.000003532454,0.000001044608,0.00008727287,0.000007858833,0.00002994305,0.0003807122,0.006871127,1.305165e-7,1.816933e-7,0.0004204342,0.9830711,0.0091267],"study_design_scores_gemma":[0.0001319737,0.0001042678,0.0005224472,0.00009746589,0.000004741131,0.00002908011,0.0004634229,2.721945e-8,4.456222e-8,0.0001038768,0.9984034,0.000139217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003113139,0.0005957994,0.0002653951,0.9885268,0.002901908,0.0002001607,0.0001704435,0.00000775653,0.007020402],"genre_scores_gemma":[0.002994667,0.00005357576,0.0001400395,0.9521765,0.02072013,0.000003388445,0.00000448151,0.00002659311,0.02388064],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1992087,"threshold_uncertainty_score":0.9999488,"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."}}