{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024051,0.0003875659,0.0003703204,0.00972336,0.0006530826,0.001261304,0.000758892,0.0005615301,0.007741719],"category_scores_gemma":[0.004245496,0.0001601657,0.000526902,0.004699447,0.0005669222,0.001173955,0.0005862765,0.0002845985,0.001739939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000763885,"about_ca_system_score_gemma":0.0005676943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697178,"about_ca_topic_score_gemma":0.002989004,"domain_scores_codex":[0.9977747,0.0002217905,0.0002139316,0.0003729447,0.001169968,0.0002467183],"domain_scores_gemma":[0.9959188,0.001104202,0.0007903616,0.0002346986,0.001730173,0.0002218294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002073504,0.0002299552,0.3857331,0.001074761,0.0001272016,0.001195808,0.002589468,0.009524195,0.01337571,0.01545211,0.008308969,0.5603153],"study_design_scores_gemma":[0.00002682633,0.000861763,0.9099057,0.0002975784,0.0002019715,0.002097274,0.006153319,0.03059814,0.01124654,0.004277356,0.03421514,0.0001184147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925007,0.002499123,0.03101844,0.0002240703,0.0001590412,0.0001817807,0.002207823,0.0004277979,0.03827492],"genre_scores_gemma":[0.9726943,0.00101968,0.01050369,0.00003125463,0.00005302475,0.0000641558,0.003128446,0.00007204952,0.01243345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00972336,"threshold_uncertainty_score":0.02589864,"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."}}