{"id":"W2800671551","doi":"10.1139/tcsme-2000-0004","title":"OPTIMIZATION-BASED SYNTHESIS OF A DEEP-DIGGING TILLAGE MECHANISM","year":2000,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Broyden–Fletcher–Goldfarb–Shanno algorithm; Mathematical optimization; Computer science; Algorithm; Function (biology); Minification; Variable (mathematics); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002984298,0.0003242435,0.0003642793,0.0003403536,0.0002128244,0.0003250616,0.0004097682,0.0003806395,0.001950464],"category_scores_gemma":[0.0002892345,0.0002383196,0.0003667449,0.0002457778,0.0002083228,0.0001674329,0.0002467748,0.0002414249,0.000279806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003056437,"about_ca_system_score_gemma":0.0008935083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067315,"about_ca_topic_score_gemma":0.002078664,"domain_scores_codex":[0.999909,0.00000891464,0.00000579594,0.00001992606,0.00004515051,0.00001110674],"domain_scores_gemma":[0.9998876,0.00003288514,0.0000232027,0.00001573694,0.00003239739,0.000008061787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005198214,0.00004652092,0.000517047,0.0002880903,0.00002328557,0.0001554832,0.00009512566,0.6951033,0.2132559,0.01004537,0.0004765332,0.07994127],"study_design_scores_gemma":[0.00004738272,0.0004114408,0.0008391459,0.00002366423,0.00003018218,0.00009998012,0.00002721952,0.9466868,0.04308368,0.001668921,0.007061895,0.00001972002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09418892,0.0001785378,0.8961244,0.00005418283,0.0000506442,0.0001799288,0.0001591884,0.0005666778,0.008497574],"genre_scores_gemma":[0.4585935,0.000117832,0.5358616,0.00001564863,0.000004946722,0.0002094188,0.000127977,0.00003963294,0.005029447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001950464,"threshold_uncertainty_score":0.00652498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004944209116980023,"score_gpt":0.171161298244191,"score_spread":0.166217089127211,"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."}}