{"id":"W7044127450","doi":"","title":"TUT5101-2 Fork of Course Replication of Diener, E., Ng, W., Harter, J., &amp;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); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01271938,0.00127735,0.001907909,0.004936877,0.005364321,0.008278697,0.003877044,0.002443851,0.6259048],"category_scores_gemma":[0.04998932,0.000926409,0.00133184,0.00631009,0.001746425,0.002975982,0.007112827,0.00366546,0.5004987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004395021,"about_ca_system_score_gemma":0.0141152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05893449,"about_ca_topic_score_gemma":0.07943481,"domain_scores_codex":[0.9922264,0.001475136,0.0004556499,0.001173462,0.003739243,0.0009301872],"domain_scores_gemma":[0.9457178,0.004368671,0.001262209,0.01740739,0.02498149,0.006262486],"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":[0.0002657842,0.00007711568,0.001009365,0.0001289805,0.00001889012,0.00004762604,0.0002466647,0.0001078758,0.001323263,0.007951156,0.9667089,0.02211439],"study_design_scores_gemma":[0.0001380874,0.00008953992,0.005703042,0.0001432054,0.00002492619,0.00009431946,0.0002409382,0.0003606966,0.001503835,0.003032736,0.9885973,0.00007141517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006054797,0.0005509956,0.03490555,0.01701541,0.0339168,0.002221744,0.4759999,0.0301002,0.3992347],"genre_scores_gemma":[0.03297438,0.0004458658,0.02331625,0.003405303,0.001747791,0.002680117,0.3242432,0.034448,0.5767391],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6259048,"threshold_uncertainty_score":0.5336014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218499219141691,"score_gpt":0.2651398970455079,"score_spread":0.242954904854091,"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."}}