{"id":"W6977015891","doi":"10.6084/m9.figshare.20057523.v1","title":"Additional file 1 of Patient selection for milk and egg ladders using a food ladder safety checklist","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta; BC Children's Hospital; University of British Columbia","funders":"","keywords":"Checklist; Selection (genetic algorithm); Food safety; Patient safety; Workplace safety","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001758981,0.0007440435,0.001023342,0.001712145,0.0009229177,0.001060554,0.001045858,0.001141187,0.8918703],"category_scores_gemma":[0.03805833,0.0004238403,0.0006619276,0.002377396,0.0002272136,0.001484228,0.0008457619,0.0009473916,0.1777457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126368,"about_ca_system_score_gemma":0.001923631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005810135,"about_ca_topic_score_gemma":0.008195871,"domain_scores_codex":[0.9990156,0.0002621004,0.000240157,0.0001975462,0.0001597039,0.0001249092],"domain_scores_gemma":[0.9743091,0.01805319,0.002020729,0.001112582,0.003799211,0.0007051977],"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":[0.000271957,0.00007312641,0.001432368,0.001046334,0.00001365396,0.00004375394,0.00004852333,0.0001168494,0.00002342484,0.0004424848,0.9884951,0.007992497],"study_design_scores_gemma":[0.006920599,0.0005674578,0.04054817,0.008371439,0.0001388726,0.0009945559,0.0008449771,0.001477157,0.0005324772,0.0137514,0.9256845,0.0001684312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006764568,0.00006513007,0.0006215387,0.0005356102,0.00008442761,0.0007981711,0.9898418,0.0002961497,0.007080862],"genre_scores_gemma":[0.03777521,0.0005965018,0.00831554,0.004558189,0.0006436306,0.01980525,0.8640023,0.001492132,0.06281117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8918703,"threshold_uncertainty_score":0.1542339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022805767195213,"score_gpt":0.2076871175894663,"score_spread":0.1774590599175141,"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."}}