{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002895312,0.00005179725,0.00009972569,0.001058087,0.00002502609,0.000005908266,0.0001218338,0.00006023475,0.000001816332],"category_scores_gemma":[0.00005193631,0.00005411894,0.000005228888,0.001098455,0.000327719,0.0001447389,0.00002109962,0.00003951545,8.739948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005294162,"about_ca_system_score_gemma":0.00007004558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003962574,"about_ca_topic_score_gemma":0.00000816622,"domain_scores_codex":[0.9994903,0.000002917251,0.0002154343,0.0001001061,0.00007605063,0.0001151626],"domain_scores_gemma":[0.9997056,0.00001031887,0.00005386709,0.0001345555,0.00007920332,0.00001644342],"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":[0.000001548025,0.00002877222,0.04686934,0.0003487502,0.000006838127,8.36495e-8,0.001946924,0.0006789778,0.9094813,0.006469556,0.00004288393,0.03412498],"study_design_scores_gemma":[0.0002375378,0.0002092145,0.05584555,0.0006841446,0.000009371408,0.00001557959,0.007310558,0.08955035,0.8453557,0.0003992174,0.0001820349,0.000200666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996398,0.0003407325,0.001573239,0.00002497815,0.0009071034,0.0001271521,6.150113e-7,0.00009276563,0.0005354592],"genre_scores_gemma":[0.9993339,0.000009014168,0.000597472,0.000001342278,0.00001556999,0.00002381937,4.879873e-7,0.000004080629,0.00001427313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08887137,"threshold_uncertainty_score":0.2206906,"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."}}