{"id":"W7056469897","doi":"","title":"Fork of Course Replication of Griskevicius, V., Tybur, J. M., &amp;amp; Van den Bergh, B. (2010). University of Toronto PSY202 TUT5101 W19","year":2019,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Laser Design and Applications","field":"Engineering","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":[0.0232395,0.0009946754,0.001547173,0.005221096,0.003732688,0.004889169,0.004269007,0.001993028,0.2666245],"category_scores_gemma":[0.1312594,0.0008708121,0.001325244,0.00528286,0.002369264,0.002922235,0.006446319,0.00534314,0.1702726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006989338,"about_ca_system_score_gemma":0.01502082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04053367,"about_ca_topic_score_gemma":0.03913394,"domain_scores_codex":[0.9859512,0.002193144,0.0007336478,0.002446342,0.008048249,0.0006273385],"domain_scores_gemma":[0.8106245,0.01700027,0.003255489,0.06027445,0.09786384,0.0109815],"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":[0.0001512753,0.00009718983,0.0004029823,0.000135777,0.00001559198,0.00002916129,0.0002430443,0.00009663807,0.001356127,0.007041322,0.9485294,0.04190157],"study_design_scores_gemma":[0.00006305483,0.00006143688,0.003268364,0.0001169901,0.00002005202,0.00005987702,0.0001034595,0.0003557104,0.001728966,0.004045001,0.9901348,0.00004228665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.00764336,0.002431024,0.1593623,0.1289731,0.2442832,0.006902392,0.1897541,0.0228572,0.2377933],"genre_scores_gemma":[0.03903941,0.001773394,0.1138352,0.01703287,0.01435064,0.00493148,0.0720884,0.02233948,0.7146092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9767605,"threshold_uncertainty_score":0.8919477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420439053074431,"score_gpt":0.236875686161794,"score_spread":0.2226712956310496,"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."}}