{"id":"W6950347412","doi":"10.5683/sp3/jtgxb4","title":"Replication Data and Code for: Organizational form and output quality","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Replication (statistics); Replicate; Code (set theory); Quality (philosophy); Data file; Table (database); Data quality","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"],"consensus_categories":[],"category_scores_codex":[0.004982579,0.002416413,0.001808679,0.005684586,0.001567591,0.004675208,0.003631814,0.002293975,0.2324569],"category_scores_gemma":[0.0413573,0.001491504,0.002027858,0.01096138,0.000913401,0.002895287,0.00266752,0.003062104,0.1806324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667252,"about_ca_system_score_gemma":0.005036718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03468308,"about_ca_topic_score_gemma":0.04978646,"domain_scores_codex":[0.9941059,0.001227473,0.0009100066,0.001821773,0.001318944,0.0006158522],"domain_scores_gemma":[0.9715747,0.008310769,0.002267373,0.008998151,0.007819346,0.001029709],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004793971,0.00001395193,0.0008502965,0.000314374,0.00002345499,0.000007153328,0.00003188915,0.0001593444,0.00003840004,0.0005918997,0.9965869,0.001334456],"study_design_scores_gemma":[0.0004828565,0.00002244839,0.007914726,0.000340926,0.00005422493,0.0000463431,0.0001711097,0.0003663318,0.0003825695,0.003377393,0.9867643,0.00007667993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001037879,0.00001614685,0.0001588518,0.00006101223,0.00003539745,0.00002969681,0.9983583,0.0003580997,0.0008786516],"genre_scores_gemma":[0.0008860736,0.00002215682,0.0008298171,0.00007065586,0.00001764395,0.0004157032,0.9956231,0.0004565509,0.001678342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9950174,"threshold_uncertainty_score":0.7776457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0953150396043076,"score_gpt":0.3683045973701136,"score_spread":0.272989557765806,"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."}}