{"id":"W4391032934","doi":"10.48081/cbha5682","title":"ANALYSIS OF THE STRUCTURE OF INDUSTRIAL WASTE USED TO CREATE NEW COMPOSITE MATERIALS","year":2023,"lang":"en","type":"article","venue":"Science and Technology of Kazakhstan","topic":"Industrial Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"","keywords":"Microstructure; Materials science; Silica fume; Metallurgy; Industrial waste; Composite number; Silicon; Municipal solid waste; Waste management; Composite material; Fly ash; Engineering","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":[0.00008295099,0.0001121075,0.0001310355,0.0009792118,0.0003047115,0.0002346957,0.0001319228,0.0001944833,0.0008168797],"category_scores_gemma":[0.0001086861,0.0001007315,0.000133637,0.0007367142,0.0001597289,0.0001691139,0.00006495968,0.0001572508,0.0001571152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143283,"about_ca_system_score_gemma":0.0001553247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148875,"about_ca_topic_score_gemma":0.00240617,"domain_scores_codex":[0.9999299,0.000006058501,0.000003595384,0.00001220537,0.00003675215,0.00001154163],"domain_scores_gemma":[0.9999254,0.00001459415,0.00001613085,0.000005806801,0.00003257129,0.000005609111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009217742,0.00001809811,0.004829604,0.00007551746,0.000006270874,0.0001141799,0.00008954067,0.0003145727,0.989061,0.0001618696,0.00003008232,0.00520714],"study_design_scores_gemma":[0.000003548343,0.0001212022,0.06741626,0.000009976611,0.00002012665,0.0004028214,0.0002416264,0.00116029,0.9282069,0.00009705968,0.002315309,0.000004850009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949963,0.0005195133,0.002344919,0.00001047542,0.000004648309,0.000008308078,0.0002268599,0.000031926,0.001857137],"genre_scores_gemma":[0.9963805,0.0003229159,0.001810335,0.000009051902,0.000001474554,0.000007254682,0.0002740228,0.00001256818,0.001181926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001148875,"threshold_uncertainty_score":0.002732754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955967960939403,"score_gpt":0.2299392890120345,"score_spread":0.2103796094026404,"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."}}