{"id":"W7110683483","doi":"","title":"Fork of Course Replication of Griskevicius, V., Tybur, J. M., & Van den Bergh, B. (2010). University of Toronto W19","year":2024,"lang":"","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"],"consensus_categories":[],"category_scores_codex":[0.04207904,0.001560295,0.002375391,0.005708129,0.007045811,0.005996074,0.004751169,0.002636823,0.2937982],"category_scores_gemma":[0.2598294,0.001468889,0.002446822,0.006690616,0.003602196,0.003582307,0.008915507,0.006408911,0.1428392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009439232,"about_ca_system_score_gemma":0.02384576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07676779,"about_ca_topic_score_gemma":0.0939456,"domain_scores_codex":[0.9726418,0.005823005,0.001774083,0.005207087,0.0129687,0.001585322],"domain_scores_gemma":[0.7261859,0.02189932,0.004846288,0.1113878,0.1243062,0.01137443],"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":[0.0006450279,0.0002278034,0.001066923,0.0004485418,0.00007566494,0.00006494236,0.002044653,0.0001568612,0.002481064,0.01329988,0.930119,0.04936978],"study_design_scores_gemma":[0.0006071696,0.0002737705,0.01752103,0.0004484087,0.0001351861,0.0001104789,0.0007363893,0.0005040698,0.002998058,0.01117342,0.9653,0.000191997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01838914,0.002469909,0.1492501,0.06593804,0.1783813,0.02553179,0.3216158,0.01904293,0.219381],"genre_scores_gemma":[0.0999861,0.001626428,0.1349043,0.0147286,0.007522828,0.03685196,0.128482,0.02052169,0.5553762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.957921,"threshold_uncertainty_score":0.982853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683795882746952,"score_gpt":0.2680953821397643,"score_spread":0.2512574233122948,"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."}}