{"id":"W2367797865","doi":"","title":"Form and Position Errors Computation of Geometrical Products Using Genetic Algorithm","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Position (finance); Key (lock); Genetic algorithm; Algorithm; Fitness function; Computation; Field (mathematics); Mathematical optimization; Function (biology); Machine learning; Mathematics","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":[0.0006093599,0.0005415141,0.0006416457,0.001088745,0.0003427395,0.0007710948,0.0006727275,0.0007084233,0.001003426],"category_scores_gemma":[0.002171463,0.0003089097,0.000502168,0.0008263785,0.0004300811,0.0005922074,0.0003594607,0.0004188957,0.0002556647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007674576,"about_ca_system_score_gemma":0.0009048579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006741853,"about_ca_topic_score_gemma":0.003419791,"domain_scores_codex":[0.9996064,0.00008073579,0.00001624595,0.00005533764,0.0002165544,0.00002482187],"domain_scores_gemma":[0.9995214,0.0001900698,0.00005571764,0.00004876102,0.0001702066,0.00001392568],"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":[0.00004630612,0.00002322191,0.0008429553,0.00003637279,0.00003412752,0.00004687207,0.00005449065,0.8864729,0.005882992,0.00760009,0.0003853476,0.09857439],"study_design_scores_gemma":[0.00000658785,0.00001550181,0.0002702282,0.000004377861,0.000007110824,0.00001926935,0.000005018918,0.9956921,0.001881165,0.001597798,0.0004941691,0.000006817829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03469347,0.000110297,0.96209,0.0000671337,0.00002136421,0.00002930187,0.00001910657,0.0004811867,0.002488134],"genre_scores_gemma":[0.5104465,0.0001554718,0.4867652,0.00002516509,0.0000163993,0.00008132737,0.00007514584,0.00009897743,0.002335785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006741853,"threshold_uncertainty_score":0.0134052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279181673905913,"score_gpt":0.2494290082997232,"score_spread":0.2366371915606641,"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."}}