{"id":"W7132263223","doi":"","title":"WASTE WOOD-FROM ORDINARY WASTE TO VALUABLE BIORESOURCE","year":2018,"lang":"en","type":"article","venue":"Çanakkale Onsekiz Mart University AVESIS","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Waste treatment; Municipal solid waste; Work (physics); Product (mathematics)","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":[0.0005686193,0.0007549591,0.0009849037,0.002887031,0.0005939464,0.004299911,0.0005871791,0.00119399,0.007399665],"category_scores_gemma":[0.000601811,0.0002890581,0.0008869066,0.003832575,0.0007465795,0.003013739,0.001080377,0.000859839,0.002465226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006592266,"about_ca_system_score_gemma":0.001412907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007380191,"about_ca_topic_score_gemma":0.001844228,"domain_scores_codex":[0.9991929,0.000122485,0.00009976083,0.0001429739,0.0003606486,0.00008121086],"domain_scores_gemma":[0.9995789,0.0001705268,0.00009199177,0.00002639514,0.0001088117,0.00002338108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001587566,0.0002566886,0.002408336,0.06251813,0.000217855,0.002728216,0.001182556,0.001361743,0.02705169,0.04100256,0.01594114,0.8451724],"study_design_scores_gemma":[0.000007008679,0.0001818094,0.002329039,0.01370433,0.0001904685,0.002871715,0.001446472,0.0001602703,0.01795624,0.01051775,0.9505929,0.0000419381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01255145,0.9546143,0.004299303,0.001166017,0.0009059382,0.00007427328,0.000391291,0.00005755278,0.02593989],"genre_scores_gemma":[0.06214132,0.9129957,0.00394685,0.001342335,0.0005090838,0.00007149528,0.0006249786,0.00004809057,0.01832013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007399665,"threshold_uncertainty_score":0.02475441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101899806181223,"score_gpt":0.1916699603937228,"score_spread":0.1814799797756005,"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."}}