{"id":"W4200154703","doi":"10.1016/j.matdes.2021.110312","title":"Prediction and experimental evaluation of the threshold velocity in water droplet erosion","year":2021,"lang":"en","type":"article","venue":"Materials & Design","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Mechanics; Erosion; Work (physics); Reliability (semiconductor); Mechanical engineering; Physics; Geology; Thermodynamics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009355099,0.00006162994,0.00008254714,0.000009510964,0.0000696558,0.0000255992,0.00005706101,0.00003522585,0.00271128],"category_scores_gemma":[0.00002381875,0.00003817186,0.00001205104,0.00004831768,0.0000586854,0.00008691286,0.0001535214,0.00003015193,0.00001772801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006066983,"about_ca_system_score_gemma":0.000007585201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006692146,"about_ca_topic_score_gemma":0.00001349909,"domain_scores_codex":[0.9989761,0.0003341951,0.0001576005,0.000157143,0.0002805021,0.00009446125],"domain_scores_gemma":[0.9998126,0.00001175572,0.00003482671,0.0001155173,0.000007883758,0.00001738814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001520303,0.00003452495,0.01196529,0.000002333215,8.599017e-7,5.186816e-7,0.000629738,0.0009125706,0.9861646,0.00001351014,0.00009518837,0.0001656893],"study_design_scores_gemma":[0.0003315885,0.00001913,0.132106,0.00001918163,0.000006488181,0.00000266403,0.00008477193,0.001149026,0.8658898,0.0003399036,0.0000129562,0.00003843255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991105,0.00002569497,0.0001244715,0.00007513638,0.0002041721,0.0001974662,0.000003640732,0.000006768405,0.0002521104],"genre_scores_gemma":[0.9996109,0.000002557845,0.0002318572,0.00007562915,0.00001229542,0.00002106958,0.000006186877,0.000005299592,0.0000342198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202747,"threshold_uncertainty_score":0.9982004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050003983379584,"score_gpt":0.2655083144828716,"score_spread":0.2155043311032876,"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."}}