{"id":"W2254613496","doi":"10.5539/mer.v6n1p1","title":"Classification and Comparative Analysis of Belt Weigher Hoists","year":2016,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Industrial Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kinematics; Position (finance); Point (geometry); Calibration; Realization (probability); Basis (linear algebra); Class (philosophy); Computer science; Engineering; Mathematics; Artificial intelligence; Geometry; Statistics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005279492,0.0001275906,0.0003150395,0.0007234451,0.00002917619,0.0000160849,0.0001907343,0.0001871586,0.00002648133],"category_scores_gemma":[0.0002582962,0.00009584674,0.00006071311,0.001301961,0.00006535826,0.00006915288,0.0000665869,0.0003013843,0.000008846861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009023641,"about_ca_system_score_gemma":0.000009480175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000979092,"about_ca_topic_score_gemma":0.00000430944,"domain_scores_codex":[0.9989139,0.00001949544,0.0002341194,0.0001946311,0.0003029896,0.000334889],"domain_scores_gemma":[0.9990469,0.0004667247,0.00001453018,0.0002901995,0.00009934254,0.00008235833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000176876,0.00003243465,0.0002257677,0.0000869024,0.0008931364,0.000004685932,0.00007947961,0.02559341,0.778753,0.1748181,0.0003316183,0.01916371],"study_design_scores_gemma":[0.0007674529,0.0002000894,0.022501,0.0001860863,0.000189759,0.000003180883,0.0001062791,0.6836891,0.2853555,0.0005821558,0.005923612,0.000495731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407993,0.0003771103,0.05604174,0.0002235499,0.0002020045,0.0002168968,0.00002720578,0.0008676981,0.001244493],"genre_scores_gemma":[0.9986256,0.0001110056,0.001086919,6.386148e-7,0.00003379873,0.00003329813,0.000003680213,0.00001466382,0.00009041998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6580957,"threshold_uncertainty_score":0.3908516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1401909419052431,"score_gpt":0.336982479973449,"score_spread":0.1967915380682059,"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."}}