{"id":"W2904316452","doi":"10.2175/193864718825138583","title":"Can WWTPs Support all the ingredients required for a Methane-Driven biopolymers recipe?!","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Carbon dioxide utilization in catalysis","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Recipe; Methane; Computer science; Biochemical engineering; Chemistry; Engineering; Food science; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.004399973,0.001135384,0.0009748283,0.0005502795,0.001395917,0.004004468,0.001839901,0.004083999,0.0209269],"category_scores_gemma":[0.005234557,0.0006518858,0.001509598,0.0009150791,0.001047714,0.009917466,0.002510042,0.002849803,0.01716834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273002,"about_ca_system_score_gemma":0.007093197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007317495,"about_ca_topic_score_gemma":0.01485024,"domain_scores_codex":[0.9980986,0.0003229669,0.0000739121,0.0002300626,0.0006636998,0.0006108895],"domain_scores_gemma":[0.9969746,0.0003659546,0.0002454065,0.0004897668,0.001477924,0.0004463761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002149138,0.00158565,0.007410519,0.00339034,0.0003415368,0.0008804505,0.0005489395,0.01085716,0.3539177,0.04421769,0.1758267,0.3988742],"study_design_scores_gemma":[0.0002378522,0.001356221,0.004317865,0.000656291,0.0001615785,0.0002770055,0.002768613,0.009323128,0.2096134,0.03196362,0.7390658,0.0002586186],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2459688,0.02717307,0.2669846,0.3030519,0.02015705,0.001241707,0.008262882,0.01623639,0.1109236],"genre_scores_gemma":[0.6822581,0.03256451,0.1713516,0.0309133,0.001714783,0.001099697,0.007137845,0.002157036,0.07080305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0209269,"threshold_uncertainty_score":0.07000744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730896663845242,"score_gpt":0.2271556354221163,"score_spread":0.2098466687836639,"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."}}