{"id":"W6906584434","doi":"10.17605/osf.io/q3vec","title":"Course Replication of Diener, E., Ng, W., Harter, J., &amp; Arora, R. (2010). - University of Toronto W19","year":2019,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Diener; Course (navigation); Life course approach","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04524776,0.001641925,0.001898616,0.003427734,0.00592997,0.00458796,0.003389677,0.002686593,0.1202969],"category_scores_gemma":[0.1832631,0.00137631,0.002449439,0.003770395,0.002790076,0.002334657,0.005748846,0.005133924,0.05570354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006740318,"about_ca_system_score_gemma":0.01433299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0332461,"about_ca_topic_score_gemma":0.05488309,"domain_scores_codex":[0.9787555,0.006576256,0.001684012,0.003794625,0.007820251,0.001369377],"domain_scores_gemma":[0.7960996,0.02044693,0.00427974,0.09240829,0.08103389,0.005731638],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003286262,0.002438206,0.005770765,0.0008090655,0.0003249013,0.000261857,0.005479396,0.0005890763,0.009087822,0.02295268,0.8414094,0.1075906],"study_design_scores_gemma":[0.004247237,0.002109619,0.09097853,0.0005667207,0.0005681198,0.0002952148,0.002588031,0.001710486,0.01160093,0.02389751,0.8609704,0.0004671544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1176462,0.0013796,0.1363604,0.03066597,0.05247187,0.1090412,0.2517471,0.01319428,0.2874933],"genre_scores_gemma":[0.2046915,0.0005916692,0.1227451,0.01317858,0.002555322,0.1319147,0.08813123,0.008864379,0.4273275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9547523,"threshold_uncertainty_score":0.4024333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863270611876819,"score_gpt":0.2574746407399813,"score_spread":0.2388419346212131,"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."}}