{"id":"W7009884833","doi":"","title":"Fork of Course Replication of Griskevicius, V., Tybur, J. M., & Van den Bergh, B. (2010). University of Toronto TUT0601 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); 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":[0.03768219,0.001389987,0.002113702,0.005253506,0.006523899,0.005779249,0.004445369,0.002374832,0.3166459],"category_scores_gemma":[0.2069872,0.001194441,0.002096437,0.005849101,0.003307046,0.003565029,0.009352647,0.005952068,0.1640709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007988097,"about_ca_system_score_gemma":0.02084637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05602985,"about_ca_topic_score_gemma":0.06534287,"domain_scores_codex":[0.9766364,0.005150517,0.001562493,0.004667576,0.01052257,0.001460501],"domain_scores_gemma":[0.7623498,0.01774746,0.004273129,0.09829653,0.1060814,0.01125174],"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":[0.0005737345,0.0002100531,0.001109284,0.0003625704,0.00005971994,0.00005723331,0.001423649,0.0001179014,0.002509715,0.01493768,0.926953,0.0516853],"study_design_scores_gemma":[0.0004062883,0.0002123513,0.0116716,0.0003383007,0.00009940279,0.0001089754,0.0005243564,0.0004169341,0.002831517,0.009221561,0.9740399,0.0001287212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01697283,0.002337509,0.1287019,0.07981457,0.1666993,0.01819425,0.2911117,0.01852814,0.2776398],"genre_scores_gemma":[0.08630911,0.001327916,0.1180359,0.01367505,0.007160972,0.02149476,0.1221661,0.02008313,0.6097471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9623178,"threshold_uncertainty_score":0.9747217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818852363947229,"score_gpt":0.2658506876759321,"score_spread":0.2476621640364598,"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."}}