{"id":"W3092945766","doi":"","title":"Replication of experiments in anaerobic digestion: simpler, greater and easier than you had ever hoped","year":2017,"lang":"en","type":"preprint","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique; Institut national de la recherche scientifique","keywords":"Replication (statistics); Computer science; Anaerobic digestion; Digestion (alchemy); Chemistry; Mathematics; Chromatography; Statistics; Methane","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.04085136,0.002833097,0.004895689,0.002326362,0.001698737,0.005774902,0.003448761,0.003389891,0.0081552],"category_scores_gemma":[0.04127447,0.00245112,0.002840915,0.001809002,0.005114884,0.006774001,0.00536998,0.007748561,0.008837162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205412,"about_ca_system_score_gemma":0.002342614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005919377,"about_ca_topic_score_gemma":0.0007816264,"domain_scores_codex":[0.9573946,0.02080757,0.003333507,0.008734327,0.008780796,0.000949148],"domain_scores_gemma":[0.9465495,0.01110713,0.0045579,0.02968829,0.005611496,0.002485694],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002233764,0.0007386924,0.004773805,0.002841767,0.0008594307,0.000616957,0.001870688,0.001808719,0.8291498,0.008527442,0.01556924,0.1310097],"study_design_scores_gemma":[0.0005004263,0.002971995,0.009999791,0.001296167,0.0007662448,0.002307212,0.0007812445,0.005927621,0.6852295,0.02352383,0.2659867,0.000709348],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04204618,0.00711546,0.9164008,0.006949385,0.00603695,0.002537913,0.001778897,0.01198643,0.005147989],"genre_scores_gemma":[0.0643343,0.003662944,0.9152119,0.001820007,0.001131161,0.002479422,0.001901657,0.003057435,0.006401205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9591486,"threshold_uncertainty_score":0.2160453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249008175044265,"score_gpt":0.2810357302654858,"score_spread":0.2485456485150431,"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."}}