{"id":"W1551729773","doi":"10.2172/1011769","title":"Fall 2010 Composite Data Products ARRA Material Handling Equipment: Quarter 3 of 2010, Final Version September 30, 2010","year":2011,"lang":"en","type":"report","venue":"","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Composite number; Database; Operations management; Computer science; Waste management; Process engineering; Engineering; History","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":[],"consensus_categories":[],"category_scores_codex":[0.002057992,0.001429291,0.0009810677,0.00401691,0.001469563,0.004041475,0.002142171,0.001291739,0.2443186],"category_scores_gemma":[0.005372291,0.0005502884,0.0006175522,0.006275155,0.0003089943,0.002234078,0.0008546127,0.001346914,0.2053179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004084361,"about_ca_system_score_gemma":0.007713186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1063866,"about_ca_topic_score_gemma":0.1716527,"domain_scores_codex":[0.9958989,0.0001495782,0.0001394515,0.0002130153,0.003323529,0.0002754347],"domain_scores_gemma":[0.9912035,0.0004028533,0.0003296744,0.0003740013,0.007400366,0.0002895985],"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":[0.0001261606,0.00004898741,0.0004740924,0.0001413262,0.000004058839,0.00001053498,0.00001210195,0.00009203406,0.0003212616,0.0002357065,0.9883537,0.01017987],"study_design_scores_gemma":[0.00003987931,0.00009480088,0.01090536,0.00008469683,0.00001232654,0.00002649057,0.00008027092,0.0002163298,0.00129037,0.0002508745,0.9869766,0.00002200243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003233353,0.0008825778,0.001286331,0.001632768,0.00214952,0.0007512891,0.6910091,0.002531865,0.2965232],"genre_scores_gemma":[0.007218209,0.00138486,0.002143503,0.0005038591,0.0004517886,0.0005807283,0.4874378,0.000934683,0.4993446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2443186,"threshold_uncertainty_score":0.817327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07702635263369063,"score_gpt":0.2817384346932305,"score_spread":0.2047120820595399,"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."}}