{"id":"W6925188307","doi":"10.17605/osf.io/9vys5","title":"Dice Shaker Replication (Update)","year":2024,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dice; Replication (statistics); Sample (material); Shaker","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02832802,0.002459269,0.005306164,0.01031935,0.006281015,0.014839,0.007427427,0.005079666,0.6835803],"category_scores_gemma":[0.2496987,0.003821286,0.004157691,0.01103719,0.002741252,0.009524276,0.01034376,0.00727408,0.6595863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003857474,"about_ca_system_score_gemma":0.01194902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004975587,"about_ca_topic_score_gemma":0.008050487,"domain_scores_codex":[0.9671131,0.007441891,0.004496082,0.004218029,0.01421778,0.002513068],"domain_scores_gemma":[0.7803262,0.03606591,0.005254342,0.06223531,0.1086003,0.007517864],"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":[0.0001431957,0.00001700548,0.0001088035,0.0002309744,0.00002662195,0.00002869222,0.00004523504,0.0000504681,0.0001416173,0.001049332,0.9828838,0.01527433],"study_design_scores_gemma":[0.0001782039,0.00003003405,0.0004765461,0.0002531748,0.00003314618,0.0001282576,0.00005071117,0.0002781422,0.0008613698,0.003689154,0.993951,0.00007031402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001704185,0.002869536,0.07563392,0.02893052,0.1900095,0.003784219,0.3366942,0.1854304,0.1749435],"genre_scores_gemma":[0.01917289,0.003532278,0.1077723,0.0185482,0.02684572,0.01084943,0.2736962,0.1388304,0.4007525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.971672,"threshold_uncertainty_score":0.4513342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794075710816832,"score_gpt":0.3292440437958027,"score_spread":0.3113032866876344,"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."}}