{"id":"W6961008961","doi":"10.1371/journal.pone.0286584.g001","title":"Histogram of geometric mean &lt;i&gt;E&lt;/i&gt;. &lt;i&gt;coli&lt;/i&gt; level exposures (CFU / 100 mL) by participant, Woodbine Beach, Toronto, 2022.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Histogram; Geometric mean; Geometric shape; Geometric probability; Object (grammar)","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":[0.001081068,0.001026837,0.001138708,0.001975496,0.0007587337,0.001072412,0.0009950128,0.0009408403,0.1151093],"category_scores_gemma":[0.001828716,0.0004398628,0.0005733062,0.001914985,0.0006848064,0.0007758762,0.001019511,0.002327866,0.03598921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296178,"about_ca_system_score_gemma":0.0009096222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01884902,"about_ca_topic_score_gemma":0.02217698,"domain_scores_codex":[0.9975384,0.0002771074,0.0001218292,0.0005451898,0.001136976,0.000380512],"domain_scores_gemma":[0.9950271,0.0007155242,0.0004050593,0.0004791668,0.002854522,0.0005185858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002994935,0.001487518,0.02203003,0.001565931,0.0001242905,0.0006136777,0.0009302906,0.001602631,0.4090708,0.002273265,0.3781056,0.179201],"study_design_scores_gemma":[0.0001843079,0.003965464,0.4971313,0.00015895,0.0001522002,0.001582237,0.003183029,0.002971824,0.2187649,0.001846016,0.2696912,0.0003686241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2170912,0.003978156,0.1030406,0.00618239,0.002342125,0.00266097,0.2889329,0.02379662,0.3519751],"genre_scores_gemma":[0.3785737,0.002042757,0.05143081,0.002796285,0.0004073759,0.001491551,0.183865,0.00562797,0.3737645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.981151,"threshold_uncertainty_score":0.3850789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06234618354773738,"score_gpt":0.2556077653304,"score_spread":0.1932615817826626,"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."}}