{"id":"W2936986376","doi":"10.1016/j.dib.2019.103913","title":"A comprehensive dataset on anaerobic digestion of cattle manure, source separated organics, and municipal sludge using different inoculum sources","year":2019,"lang":"en","type":"article","venue":"Data in Brief","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"GreenField Specialty Alcolhols (Canada); Toronto Metropolitan University","funders":"Ontario Water Consortium","keywords":"Digestate; Anaerobic digestion; Biogas; Mesophile; Methane; Manure; Environmental science; Pulp and paper industry; Waste management; Biodegradation; Bioenergy; Chemistry; Biofuel; Environmental chemistry; Agronomy; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0000871587,0.0001578497,0.0002209413,0.0001186121,0.00003082192,0.00002967769,0.0002295226,0.00008166604,0.00004675491],"category_scores_gemma":[0.00002031522,0.0001511611,0.00001123986,0.0001791767,0.00005826811,0.0002214401,0.000176285,0.0001660338,0.00002301542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004398552,"about_ca_system_score_gemma":0.000007876811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006345271,"about_ca_topic_score_gemma":0.0001092107,"domain_scores_codex":[0.9991192,0.00004153563,0.0002333146,0.0003073112,0.0001268125,0.0001717808],"domain_scores_gemma":[0.9991592,0.00003133554,0.00005935225,0.0006801887,0.00002319746,0.00004670889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006981282,0.001576887,0.1385252,0.001430778,0.0006897498,0.00003465188,0.004586336,0.4963238,0.2771695,0.00600022,0.05781477,0.01515004],"study_design_scores_gemma":[0.004330279,0.0006234257,0.3370464,0.0007197199,0.00017358,0.00006721283,0.001528218,0.2419605,0.03194638,0.00005402082,0.3800384,0.001511894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974859,0.0002282516,0.0001100209,0.00003162478,0.00021788,0.0001978739,0.001640538,0.00005706641,0.00003079523],"genre_scores_gemma":[0.9883144,0.0001020903,0.0001434624,0.00005294034,0.00003583717,0.000001409345,0.01129585,0.00002180274,0.00003224363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3222236,"threshold_uncertainty_score":0.6164173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305991286871877,"score_gpt":0.2595022165648797,"score_spread":0.228903087877692,"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."}}