{"id":"W6942166458","doi":"10.1371/journal.pone.0268418.t001","title":"Mean age of Ontario patients in CPERS&lt;sup&gt;a&lt;/sup&gt; by gender and fiscal year.","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Sample (material); Work (physics); Unemployment","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":[0.0006580718,0.0008187758,0.001255398,0.001838066,0.001186683,0.001249897,0.001961522,0.001223129,0.06604642],"category_scores_gemma":[0.007754011,0.0005524387,0.001193528,0.006006576,0.0003159513,0.0006926651,0.0009169413,0.001037941,0.01983025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007820735,"about_ca_system_score_gemma":0.0130095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8166242,"about_ca_topic_score_gemma":0.8986543,"domain_scores_codex":[0.9991761,0.00006048668,0.0001162345,0.0001970127,0.0002018266,0.0002484162],"domain_scores_gemma":[0.99628,0.0007394991,0.000570288,0.0003395609,0.001628187,0.0004424907],"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":[0.0001024641,0.00001072938,0.006327786,0.0006917703,0.0000468545,0.00001651815,0.00004311736,0.0001363468,0.00002614472,0.0002892537,0.9905223,0.0017867],"study_design_scores_gemma":[0.0007804076,0.00003271042,0.1575471,0.002460616,0.0002946787,0.0001189991,0.0005272622,0.0005526891,0.0002010907,0.001011065,0.8364094,0.00006412905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003960012,0.0001188965,0.00002081267,0.0001156676,0.00001844437,0.00001095219,0.9980695,0.0000228608,0.001226912],"genre_scores_gemma":[0.006987353,0.0003770172,0.0002188513,0.0002393877,0.0000285439,0.0002341951,0.987081,0.00005361575,0.004780047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1833758,"threshold_uncertainty_score":0.3689114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480619210167753,"score_gpt":0.2100820259721066,"score_spread":0.1852758338704291,"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."}}