{"id":"W3202239166","doi":"10.15372/fpvgn2020070107","title":"INDUSTRIAL APPLICATION OF PLASTICIZED BACKFILL MIXTURES","year":2020,"lang":"ru","type":"article","venue":"Фундаментальные и прикладные вопросы горных наук","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nickel Institute","funders":"","keywords":"Plasticizer; Materials science; Composite material","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":[0.0006598104,0.0004604154,0.0005248764,0.0007279089,0.0004111267,0.000684982,0.0002925427,0.0005147677,0.001954431],"category_scores_gemma":[0.0003456593,0.0002292368,0.000440168,0.0005761571,0.0003062603,0.0003582375,0.0005350984,0.0003021487,0.0004166621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586034,"about_ca_system_score_gemma":0.0004668512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000424447,"about_ca_topic_score_gemma":0.0006111693,"domain_scores_codex":[0.999376,0.00014734,0.00003171053,0.00007768848,0.0002607156,0.0001066626],"domain_scores_gemma":[0.9998919,0.00002458729,0.00002276915,0.00001440239,0.00003254691,0.00001380844],"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":[0.0005951872,0.0001035124,0.0004248957,0.0003107972,0.00002104551,0.0002380428,0.00009971431,0.0008725322,0.9773908,0.000488419,0.0001089597,0.01934607],"study_design_scores_gemma":[0.000007082264,0.0003616777,0.0006269346,0.00001110426,0.00001926347,0.00008382271,0.00004305291,0.0003961269,0.9956512,0.00005008453,0.002743396,0.000006230895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755009,0.006660079,0.008438846,0.0001641956,0.00007607785,0.00005729539,0.000128887,0.0002131254,0.008760788],"genre_scores_gemma":[0.9929628,0.001316424,0.002981962,0.00002659771,0.00001729502,0.00001401081,0.00004988322,0.00001603507,0.002615009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001954431,"threshold_uncertainty_score":0.006538212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031298577257933,"score_gpt":0.2227603502807824,"score_spread":0.1914617730228494,"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."}}