{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002834726,0.0002760072,0.0002619253,0.0001797657,0.0006126414,0.00005489195,0.001010873,0.0001081319,0.01014165],"category_scores_gemma":[0.00003236549,0.000313268,0.000129339,0.0009162601,0.0003725498,0.0003272498,0.002098843,0.0001484279,0.007487145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005111935,"about_ca_system_score_gemma":0.00001699396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006039961,"about_ca_topic_score_gemma":0.002197459,"domain_scores_codex":[0.9977719,0.0001678742,0.0001910039,0.0007126429,0.0005074788,0.0006491587],"domain_scores_gemma":[0.9984477,0.00007565397,0.00009067313,0.0009259471,0.00002007182,0.0004399727],"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":[0.001311107,0.0009255242,0.0200602,0.00005228518,0.0004852235,0.0006134977,0.008576482,0.03538013,0.01183238,0.0007155,0.8927797,0.02726794],"study_design_scores_gemma":[0.0007519081,0.0004036079,0.006491668,0.00005292761,0.0001464357,0.000003833022,0.006715708,0.01078858,0.002807505,0.0001325461,0.9710128,0.000692501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8279508,0.00001139078,0.0008350563,0.001552531,0.0001963796,0.0003536922,0.00004869315,0.00008977314,0.1689617],"genre_scores_gemma":[0.8938242,0.00001916009,0.006193234,0.001279687,0.0002251586,0.000002449724,0.00002187972,0.00003838183,0.09839582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07823306,"threshold_uncertainty_score":0.9999319,"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."}}