{"id":"W2301573938","doi":"10.1038/531299a","title":"Reproducibility: Team up with industry","year":2016,"lang":"en","type":"article","venue":"Nature","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium","funders":"","keywords":"Reproducibility; Incentive; Business; Economics; Statistics; Mathematics; Microeconomics","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":["metaresearch"],"category_scores_codex":[0.297817,0.001556262,0.002753448,0.006103396,0.01002211,0.02481565,0.006108232,0.02299905,0.01048328],"category_scores_gemma":[0.5107204,0.001456119,0.002909969,0.003617213,0.03742353,0.03655059,0.02064059,0.02307474,0.00539876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00817593,"about_ca_system_score_gemma":0.03405272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0050202,"about_ca_topic_score_gemma":0.004690427,"domain_scores_codex":[0.7561641,0.1577254,0.009468705,0.02063499,0.04850939,0.007497431],"domain_scores_gemma":[0.3517386,0.4488787,0.01876638,0.1015906,0.06101672,0.018009],"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":[0.000451601,0.0002698312,0.007247191,0.0007533846,0.0006307348,0.0004952776,0.006047185,0.001861928,0.0008830373,0.3989112,0.4047101,0.1777385],"study_design_scores_gemma":[0.0002482354,0.0001876677,0.002020187,0.001037531,0.000127843,0.0002082406,0.00203685,0.002606862,0.001318981,0.6977876,0.2922086,0.0002113058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00346355,0.009029806,0.0471256,0.8967726,0.01369336,0.0001565224,0.0001079267,0.000783474,0.02886712],"genre_scores_gemma":[0.2887225,0.008906343,0.08471204,0.5498074,0.02502548,0.001293528,0.0002969589,0.001662132,0.0395737],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.702183,"threshold_uncertainty_score":0.8659166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0753517776929265,"score_gpt":0.4318133280690874,"score_spread":0.3564615503761609,"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."}}