{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001703681,0.00007691824,0.000158947,0.00005295038,0.00003287754,0.000004492322,0.00006716545,0.001566755,0.0004593129],"category_scores_gemma":[0.07980221,0.00003247023,0.00002346324,0.0002017609,0.0001009266,0.00005445083,0.00002304407,0.004113673,0.00008761984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128822,"about_ca_system_score_gemma":0.003008508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001056592,"about_ca_topic_score_gemma":0.000004995128,"domain_scores_codex":[0.9981812,0.00003675791,0.0001064913,0.000486451,0.0006318364,0.0005572759],"domain_scores_gemma":[0.9956211,0.0001343861,0.00002367486,0.001033078,0.0001755099,0.003012203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008142964,0.0001077689,0.05066564,0.0001525362,0.00002435049,0.0001190172,0.00007548631,7.4886e-9,0.003447556,0.0001466627,0.6727564,0.2716903],"study_design_scores_gemma":[0.002344244,0.000718669,0.06038684,0.0005310581,0.00001387171,0.0001303037,0.00004212826,7.942027e-7,0.00898474,0.0001456004,0.9266279,0.00007380462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6844234,0.0006080855,0.00002417891,0.2909324,0.0002391269,0.0004583878,0.000008697441,0.00008866577,0.023217],"genre_scores_gemma":[0.947011,0.00005527017,0.0001714784,0.02757179,0.0005749433,0.000009174148,0.00000312649,0.00001241534,0.02459081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2716165,"threshold_uncertainty_score":0.9997294,"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."}}