{"id":"W4399767237","doi":"10.54097/s05hrt38","title":"Retraction","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"STRIPS; Software; Scripting language; Interface (matter); Universal testing machine; Engineering; Engineering drawing; Mechanical engineering; Computer science; Materials science; Composite material; Operating system; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002342457,0.00005886915,0.00005133562,0.000337196,0.0000657176,0.0000434902,0.0001306862,0.00006849297,0.00004719795],"category_scores_gemma":[0.00005466073,0.00004731512,0.000006017021,0.00144538,0.0002710423,0.0002078624,0.0001042081,0.000189014,0.0003001565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006490827,"about_ca_system_score_gemma":0.00000621639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001308057,"about_ca_topic_score_gemma":0.000006514183,"domain_scores_codex":[0.9993628,0.000002149601,0.00007509533,0.0002586017,0.0001208058,0.0001805686],"domain_scores_gemma":[0.9998437,0.0000203312,0.000006316937,0.00009371638,0.000002212988,0.00003374279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[9.083759e-7,0.00001460645,0.008020739,0.00001075311,0.000001200651,0.00009717279,0.0002267164,0.001543468,0.703927,0.2626965,0.000483689,0.02297728],"study_design_scores_gemma":[0.0002835158,0.0001516357,0.07179169,0.0002993183,0.000007093839,0.0003728154,0.0001841459,0.2937894,0.1905229,0.007079332,0.4348317,0.0006863301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919003,0.0001770568,0.0006345556,0.002335774,0.0006693466,0.00004230753,3.541754e-7,0.0003744476,0.003865881],"genre_scores_gemma":[0.9983957,0.00005634186,0.001358488,0.00001164113,0.00001513032,0.000005053665,1.056107e-7,0.000004374144,0.0001531007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5134041,"threshold_uncertainty_score":0.3858004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004130452384524865,"score_gpt":0.2179091752816954,"score_spread":0.2137787228971706,"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."}}