{"id":"W1503631732","doi":"10.4271/2008-01-3004","title":"3 Load Cell Tumble Meter Development","year":2008,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Metre; Computer science; Physics","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":[0.001178943,0.0008835496,0.0006388784,0.00189275,0.0005596238,0.001567861,0.002559223,0.001156133,0.0415166],"category_scores_gemma":[0.001936123,0.0007345799,0.000587592,0.0009934907,0.0002304705,0.002014197,0.001197758,0.001599049,0.0337926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126111,"about_ca_system_score_gemma":0.001384502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003382076,"about_ca_topic_score_gemma":0.002903014,"domain_scores_codex":[0.9978998,0.0001256845,0.00006104094,0.000175032,0.001642566,0.00009583755],"domain_scores_gemma":[0.9982974,0.0001197775,0.00005273868,0.0001795977,0.0012727,0.00007783708],"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":[0.0004143794,0.0003034939,0.00405337,0.0005467143,0.00003779016,0.0005548009,0.0004112688,0.006249506,0.2190382,0.01549134,0.136999,0.6159002],"study_design_scores_gemma":[0.00008462886,0.0003064866,0.003418776,0.00007649344,0.00002699191,0.000930776,0.00007842155,0.04318029,0.3055663,0.001426499,0.6447541,0.0001503334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01817104,0.0007071396,0.8115128,0.001190376,0.001034271,0.001586965,0.006530732,0.05690182,0.1023648],"genre_scores_gemma":[0.141668,0.00104296,0.5659941,0.002135274,0.0004464941,0.002183882,0.01673146,0.007291603,0.2625062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0415166,"threshold_uncertainty_score":0.1388869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208605907390916,"score_gpt":0.2007219074593392,"score_spread":0.18863584838543,"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."}}