{"id":"W7000491188","doi":"","title":"Fork of Course Replication of Diener, E., Ng, W., Harter, J., & Arora, R. (2010). - University of Toronto TUT0301 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); Fork (system call)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.03053922,0.00130641,0.001998957,0.005415055,0.006290289,0.006546844,0.004510666,0.002496494,0.3670062],"category_scores_gemma":[0.1497211,0.001106911,0.002001717,0.005870673,0.00321079,0.003849681,0.009370256,0.006451934,0.2247649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008327036,"about_ca_system_score_gemma":0.02029217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05394477,"about_ca_topic_score_gemma":0.06767149,"domain_scores_codex":[0.9801171,0.003558693,0.001336122,0.003669296,0.0100538,0.001264975],"domain_scores_gemma":[0.7646953,0.01436575,0.003421731,0.09243724,0.1122713,0.01280868],"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":[0.0004304115,0.0002033531,0.0008048314,0.0002210033,0.00003314523,0.00004851119,0.0009082638,0.00009435194,0.002652253,0.01052101,0.9465894,0.03749349],"study_design_scores_gemma":[0.0002993354,0.0001375887,0.007740051,0.0002135432,0.00005390261,0.0001005909,0.0004532536,0.0003281718,0.002181411,0.005982728,0.9824052,0.0001041998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01260472,0.001186867,0.09775502,0.07808812,0.1464726,0.01622163,0.3009392,0.01973867,0.3269932],"genre_scores_gemma":[0.04934322,0.0007885027,0.08088239,0.01386708,0.005680487,0.01348356,0.10238,0.01897746,0.7145973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9694608,"threshold_uncertainty_score":0.9028888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253251538773813,"score_gpt":0.265984141564772,"score_spread":0.2434516261770339,"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."}}