{"id":"W6925242500","doi":"10.17632/t3hy6cf4n7","title":"Data for: Observational assessment of food safety behaviours at farmers' markets in Ontario, Canada: a cross-sectional study","year":2019,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Food safety; Data collection; Food supply; Risk assessment","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":[0.001807615,0.001357618,0.001243455,0.003366659,0.002614879,0.001852946,0.003414867,0.001127839,0.01257988],"category_scores_gemma":[0.008817537,0.001118862,0.001688305,0.01295668,0.00060618,0.0006865934,0.001562482,0.001261889,0.005052672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03494256,"about_ca_system_score_gemma":0.08560897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957817,"about_ca_topic_score_gemma":0.9973549,"domain_scores_codex":[0.9974759,0.0001487984,0.0003754392,0.0003776905,0.001091906,0.0005301979],"domain_scores_gemma":[0.9889688,0.0004742253,0.001345514,0.0006283621,0.007473116,0.001109889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005688451,0.0001345533,0.1980733,0.001701926,0.0005733695,0.0001713711,0.0007369987,0.0008254025,0.0002965748,0.0007607181,0.7854494,0.01070747],"study_design_scores_gemma":[0.0004741396,0.00004647615,0.8109196,0.0008454727,0.0002761806,0.0000843802,0.0009420508,0.0007008663,0.0003023544,0.000189656,0.185128,0.00009075122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006607744,0.0002056736,0.000119983,0.0001793394,0.00002075758,0.000161113,0.9914345,0.00005914041,0.001211878],"genre_scores_gemma":[0.03254217,0.0006604455,0.001211333,0.0003977085,0.00002540464,0.001405449,0.9528111,0.00005101031,0.0108953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03494256,"threshold_uncertainty_score":0.2535273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2633540230405393,"score_gpt":0.4262707235698753,"score_spread":0.162916700529336,"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."}}