{"id":"W2047689497","doi":"10.15376/biores.9.4.7554-7565","title":"Recycling Wood Composite Panels: Characterizing Recycled Materials","year":2014,"lang":"en","type":"article","venue":"BioResources","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Medium density fiberboard; Materials science; Composite number; Urea-formaldehyde; Composite material; Steam explosion; Fiberboard; Formaldehyde; Fiber; Particle size; Buffer (optical fiber); Particle (ecology); Pulp and paper industry; Chemical engineering; Chemistry; Adhesive; Layer (electronics)","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":[0.0002073373,0.0004057882,0.0002001962,0.0007289377,0.0001974074,0.0003510828,0.0002329357,0.0003171594,0.0009747531],"category_scores_gemma":[0.000196256,0.0001507352,0.0002317699,0.0004386941,0.0001284855,0.000337761,0.0001229599,0.0002577114,0.0003004456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182691,"about_ca_system_score_gemma":0.000137218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921681,"about_ca_topic_score_gemma":0.00393926,"domain_scores_codex":[0.9998525,0.00001614506,0.00001026168,0.00003977881,0.0000481119,0.00003313574],"domain_scores_gemma":[0.9999142,0.00001648418,0.00001475008,0.000007309365,0.00003680215,0.00001047165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001078546,0.0000289137,0.001793499,0.0000560098,0.000006445007,0.00004857212,0.00003797146,0.0003286574,0.992322,0.00002182625,0.00001564321,0.005232636],"study_design_scores_gemma":[0.000002667767,0.0002003599,0.01125769,0.000006180742,0.00001901668,0.00006608245,0.00006439129,0.0008607761,0.9869781,0.00001606141,0.000523268,0.000005360431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948574,0.0004016848,0.003296039,0.000005645002,0.00000456326,0.00002744651,0.0002362359,0.00004155504,0.001129488],"genre_scores_gemma":[0.9920776,0.000541991,0.005195936,0.00002018105,0.000003356833,0.00003405862,0.000344517,0.0000339141,0.001748446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001921681,"threshold_uncertainty_score":0.003820956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282169147155608,"score_gpt":0.2202496201022689,"score_spread":0.2074279286307128,"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."}}