{"id":"W2469082350","doi":"10.1021/acs.energyfuels.6b01438","title":"65th Canadian Chemical Engineering Conference","year":2016,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Process Optimization and Integration","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biochemical engineering; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002014584,0.001724957,0.001003596,0.003074025,0.003975095,0.006820676,0.002603448,0.003226993,0.6575872],"category_scores_gemma":[0.003262414,0.0005886638,0.001222742,0.002629681,0.001147435,0.002770046,0.00360846,0.003328708,0.4122096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008965299,"about_ca_system_score_gemma":0.02039967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131764,"about_ca_topic_score_gemma":0.2037883,"domain_scores_codex":[0.9971223,0.0001378039,0.00008266228,0.0003046158,0.001906856,0.0004456951],"domain_scores_gemma":[0.9968664,0.00009796084,0.00005469011,0.0002514275,0.00205955,0.000669969],"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":[0.00003319376,0.00004211129,0.0001702574,0.0001241871,0.000006122796,0.0000499632,0.00002785179,0.00006108703,0.0004699551,0.003802268,0.9411588,0.05405421],"study_design_scores_gemma":[0.00000222666,0.00000557502,0.0001498359,0.0000319064,0.000001300413,0.00001682562,0.00002018429,0.00002755032,0.0001049439,0.0002924911,0.9993433,0.000003725925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008200764,0.009715499,0.00125773,0.01394621,0.02512456,0.0003023934,0.004714325,0.0007153103,0.9434038],"genre_scores_gemma":[0.00311659,0.006384597,0.0009394725,0.001971845,0.00136617,0.00008385286,0.002651406,0.0002320077,0.9832541],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6575872,"threshold_uncertainty_score":0.4884103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006554719374385573,"score_gpt":0.1715764536249063,"score_spread":0.1650217342505207,"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."}}