{"id":"W7062865592","doi":"","title":"Waste to Energy Market in U.S. &amp;amp; Canada to Reach $2.89 Billion by 2026: AMR","year":2020,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Government (linguistics); Production (economics); Renewable energy; Energy consumption; Waste-to-energy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003926254,0.0008549743,0.0003737379,0.001680881,0.003290437,0.004225614,0.0009280506,0.002586942,0.3327973],"category_scores_gemma":[0.001151778,0.0004470976,0.0006055693,0.001525093,0.0007805776,0.001905699,0.001264146,0.002342923,0.1766215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149284,"about_ca_system_score_gemma":0.02825604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7211383,"about_ca_topic_score_gemma":0.8721779,"domain_scores_codex":[0.9992943,0.00001227373,0.000009517228,0.00004427449,0.0004922749,0.0001473809],"domain_scores_gemma":[0.9988608,0.00002971955,0.0000182287,0.00002513377,0.0007588846,0.0003072995],"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":[0.00001499938,0.0000120752,0.0001041273,0.00002146115,0.000001316161,0.00001296277,0.00001019776,0.00005691704,0.0001401575,0.002243633,0.9864556,0.01092656],"study_design_scores_gemma":[0.000007420602,0.000005969654,0.0007538413,0.00004035452,0.000002248321,0.00001434895,0.00007632956,0.0001468099,0.000276283,0.000573974,0.9980949,0.000007547364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002033993,0.001779962,0.0008500449,0.01615196,0.002491675,0.0001098661,0.0347146,0.002323301,0.9395446],"genre_scores_gemma":[0.005480484,0.00118879,0.0005072113,0.002246591,0.0001412124,0.00002756083,0.006738536,0.0004995365,0.98317],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3327973,"threshold_uncertainty_score":0.9516837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008584914998077462,"score_gpt":0.2319593955264141,"score_spread":0.2233744805283366,"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."}}