{"id":"W6960790700","doi":"10.1371/journal.pone.0250567.s003","title":"Characteristics of older adults (aged ≥66 years) in Ontario, Canada: 2003 vs 2016.","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; MEDLINE; Disease; Quality of life (healthcare)","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":[0.0003820436,0.0004135904,0.0005616484,0.00151836,0.001746429,0.001051923,0.001575652,0.0007231358,0.004714993],"category_scores_gemma":[0.001728306,0.0004119987,0.0009703449,0.006148375,0.0005426989,0.0005626005,0.00092861,0.0009564324,0.0007050944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01823029,"about_ca_system_score_gemma":0.02236696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933596,"about_ca_topic_score_gemma":0.9962116,"domain_scores_codex":[0.9993361,0.00002274237,0.00007003694,0.0001169671,0.0001907514,0.0002634074],"domain_scores_gemma":[0.9980595,0.00004944919,0.0004725876,0.00005648157,0.0008207913,0.0005411401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003571131,0.00005155601,0.9770373,0.0002566257,0.000142681,0.0001348356,0.0009916597,0.000148032,0.0002160381,0.0001642696,0.01526127,0.005238539],"study_design_scores_gemma":[0.00001236715,0.00002162609,0.9956203,0.000101708,0.00003364436,0.00005540652,0.001304545,0.00007016268,0.00001654045,0.00001620663,0.002737231,0.00001028133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8271353,0.003891605,0.000204647,0.0009515433,0.0001094542,0.0001809555,0.1574712,0.00005490316,0.01000042],"genre_scores_gemma":[0.9582549,0.00246586,0.0002209773,0.0004772116,0.00003537555,0.0001221941,0.03183858,0.00002465079,0.006560153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01823029,"threshold_uncertainty_score":0.1322706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346439025966385,"score_gpt":0.256946517833323,"score_spread":0.2434821275736592,"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."}}