{"id":"W6962681450","doi":"10.17605/osf.io/5sek2","title":"Increasing allergens declarations in through proactive communication","year":2022,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Legislation; Food allergens; Food allergy; Food industry; Quarter (Canadian coin)","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":[],"consensus_categories":[],"category_scores_codex":[0.006873028,0.0008348688,0.000396349,0.001233028,0.002530158,0.006172302,0.001488399,0.008721417,0.1476109],"category_scores_gemma":[0.04717751,0.000488206,0.0009749208,0.000858384,0.001664381,0.007664899,0.009121245,0.009841921,0.05060992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970231,"about_ca_system_score_gemma":0.004561422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444042,"about_ca_topic_score_gemma":0.002128726,"domain_scores_codex":[0.9923539,0.002861519,0.0006082278,0.0007128561,0.002544304,0.0009191686],"domain_scores_gemma":[0.9674208,0.01222656,0.004063183,0.001726619,0.006417976,0.008144972],"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":[0.00002928275,0.00003673829,0.0007941501,0.0002741156,0.000007058374,0.0002939894,0.0008635607,0.00001723627,0.0003023391,0.002160068,0.9640192,0.03120231],"study_design_scores_gemma":[0.000009054661,0.00002694888,0.000726058,0.0002472328,0.00000438674,0.0002255918,0.0006767557,0.0000213511,0.0001257599,0.000870235,0.997057,0.00000960181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005908377,0.00999087,0.002539526,0.7011359,0.0773231,0.0002887535,0.002169872,0.001973239,0.1986704],"genre_scores_gemma":[0.05498318,0.01675213,0.003698802,0.5154596,0.05905075,0.0005353742,0.003471374,0.001135085,0.3449137],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1476109,"threshold_uncertainty_score":0.4938075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06438861004789902,"score_gpt":0.3915246129777837,"score_spread":0.3271360029298847,"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."}}