{"id":"W7009693828","doi":"","title":"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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02794677,0.001217763,0.001919909,0.005723375,0.005798349,0.006806987,0.004267499,0.00238796,0.3622427],"category_scores_gemma":[0.1639011,0.001104539,0.001948802,0.006384517,0.003290254,0.003646442,0.008363238,0.006085624,0.2074537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009405851,"about_ca_system_score_gemma":0.02189103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07209589,"about_ca_topic_score_gemma":0.09634151,"domain_scores_codex":[0.9803392,0.003566374,0.001273347,0.003368573,0.01019778,0.00125469],"domain_scores_gemma":[0.7640414,0.01679412,0.003413415,0.08855642,0.1146175,0.01257702],"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":[0.0003264236,0.0001664819,0.0007417176,0.000194004,0.00002932754,0.00004685353,0.001005483,0.0001008372,0.0018376,0.008825643,0.9561996,0.03052598],"study_design_scores_gemma":[0.0002975406,0.0001268388,0.010057,0.0002523793,0.00005328975,0.0001003201,0.0005743113,0.0003499079,0.001903307,0.006049024,0.9801188,0.0001172672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01393447,0.001164896,0.091459,0.07774182,0.1284066,0.01473539,0.3396118,0.02223301,0.310713],"genre_scores_gemma":[0.05612304,0.0008209939,0.08008623,0.01414295,0.005467275,0.01282182,0.1074881,0.02253288,0.7005168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9720532,"threshold_uncertainty_score":0.9096834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228734353847235,"score_gpt":0.2657084784207258,"score_spread":0.2434211348822534,"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."}}