{"id":"W2344433396","doi":"10.1016/j.matdes.2016.04.089","title":"Energy based approach for understanding water droplet erosion","year":2016,"lang":"en","type":"article","venue":"Materials & Design","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Materials science; Work (physics); Test method; Intensity (physics); Test (biology); Energy (signal processing); Environmental science; Geology; Mechanical engineering; Statistics; Mathematics; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001177988,0.0003589656,0.0003981459,0.0005175319,0.0002986706,0.0005721249,0.0009141123,0.0008819951,0.00432758],"category_scores_gemma":[0.0003068916,0.0002607027,0.0003502908,0.0002297239,0.000380379,0.001030181,0.0005368423,0.0006507647,0.0005337967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000454591,"about_ca_system_score_gemma":0.0002205174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114033,"about_ca_topic_score_gemma":0.001369455,"domain_scores_codex":[0.9999136,0.000008126382,0.000003928522,0.00001244541,0.00005087661,0.00001100271],"domain_scores_gemma":[0.9999461,0.00002162597,0.000005321783,0.000008373235,0.00001503663,0.000003447009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000489362,0.000226171,0.001690413,0.000201607,0.00008196124,0.0005846269,0.0001007234,0.6242102,0.1278836,0.1959127,0.001282533,0.04777658],"study_design_scores_gemma":[0.000005148009,0.00001803677,0.0006757934,0.000006360242,0.000009253506,0.00008657261,0.00003164932,0.9676331,0.005756951,0.02382183,0.001944427,0.00001082295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0795928,0.001299759,0.8677039,0.0005305808,0.0001358262,0.0001011749,0.0001469194,0.0002000216,0.05028911],"genre_scores_gemma":[0.9062849,0.001456282,0.06466108,0.0002301841,0.00006513086,0.0001053089,0.0001350319,0.0001143579,0.02694776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00432758,"threshold_uncertainty_score":0.01447713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0599559003472618,"score_gpt":0.2318977067308811,"score_spread":0.1719418063836193,"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."}}