{"id":"W7075348674","doi":"","title":"Validation of the International Reading Speed Texts in a Sample of Older (60+) Canadian Adults","year":2020,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Reading (process); Reading aloud; Older people; Large sample","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":[0.005471488,0.0007562318,0.0005921524,0.002828288,0.003229841,0.001668041,0.00146355,0.0004570932,0.004613943],"category_scores_gemma":[0.02447795,0.0002699899,0.0006230872,0.002634791,0.001095936,0.0006748819,0.001234289,0.0006111434,0.001490687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008218985,"about_ca_system_score_gemma":0.01375849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9320309,"about_ca_topic_score_gemma":0.9541129,"domain_scores_codex":[0.9968861,0.0002251665,0.0002658763,0.0004098137,0.001884782,0.0003283431],"domain_scores_gemma":[0.9843457,0.001079998,0.001118252,0.0005431329,0.01227916,0.0006337543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008324992,0.0004208534,0.8409389,0.0005102524,0.0001707465,0.0004162563,0.03156789,0.0003490334,0.004140317,0.00100503,0.01091417,0.1087339],"study_design_scores_gemma":[0.00002271424,0.0001241876,0.9890869,0.00007644067,0.0000363728,0.0001517781,0.003304276,0.000163127,0.0007302265,0.00004784293,0.006231608,0.00002467668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841622,0.0003314943,0.0006157198,0.000170076,0.00004281457,0.0003825776,0.003026317,0.00005436806,0.01121441],"genre_scores_gemma":[0.9813337,0.0005857036,0.003314524,0.000349778,0.00003637176,0.0005244733,0.0063136,0.00008118086,0.007460627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06796908,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217985120582028,"score_gpt":0.2426731462443504,"score_spread":0.2304932950385302,"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."}}