{"id":"W2810192659","doi":"10.20861/2312-8267-2018-47-003","title":"IMPROVEMENT OF AUTOMATION SYSTEMS OF BELT CONVEYORS IN MINING ENTERPRISES","year":2018,"lang":"en","type":"article","venue":"Science technology and education","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Automation; Manufacturing engineering; Engineering; Computer science; Business; Construction engineering; Mechanical 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":[0.0007103565,0.0003660198,0.0002094585,0.0005231402,0.000545716,0.0007553354,0.0004406485,0.0003973457,0.00199826],"category_scores_gemma":[0.002013817,0.000106246,0.0002736679,0.0005342267,0.0001530291,0.0005649251,0.0003441256,0.00019982,0.0002701325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008982132,"about_ca_system_score_gemma":0.001912267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008916304,"about_ca_topic_score_gemma":0.005545853,"domain_scores_codex":[0.9993774,0.0001683998,0.00005089416,0.00008064618,0.0002364296,0.00008617364],"domain_scores_gemma":[0.9992628,0.0001690933,0.0001234621,0.00007278149,0.000319166,0.00005286181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002021972,0.001114769,0.1621279,0.001001538,0.0001185676,0.0003979199,0.002149852,0.09665383,0.1923351,0.003863982,0.002379109,0.5358355],"study_design_scores_gemma":[0.0002810673,0.004952801,0.5811969,0.0001749938,0.0003278779,0.0002589743,0.002090031,0.2654199,0.1247734,0.002385529,0.01807022,0.00006839485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835095,0.0004054708,0.01240064,0.0001275413,0.00001442838,0.0001100904,0.00008907155,0.0002952108,0.003048126],"genre_scores_gemma":[0.9957009,0.00013253,0.003328575,0.000006107846,0.000006401621,0.00001954889,0.00008014518,0.000005097222,0.0007206568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008916304,"threshold_uncertainty_score":0.01772887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005200886424662053,"score_gpt":0.2298754708391598,"score_spread":0.2246745844144978,"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."}}