{"id":"W4312796274","doi":"10.31399/asm.cp.itsc2002p0972","title":"Numerical Simulation of Offset Deposition for Sequential Tin Droplets","year":2002,"lang":"en","type":"article","venue":"Thermal spray","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Dairy Network","funders":"","keywords":"Surface tension; Tin; Wetting; Materials science; Deposition (geology); Heat transfer; Inertia; Mechanics; Offset (computer science); Viscosity; Thermal; Substrate (aquarium); Superheating; Composite material; Computer simulation; Solid surface; Metallurgy; Thermodynamics; Chemistry; Chemical physics; Computer science; Classical mechanics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002315996,0.0003287889,0.0005578631,0.0003185342,0.0004476415,0.0006373622,0.0006004314,0.001112511,0.0025723],"category_scores_gemma":[0.00116302,0.0002575166,0.0004544649,0.0003062515,0.0006612199,0.000348368,0.0005217221,0.0004652042,0.0001512278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008533607,"about_ca_system_score_gemma":0.0009155684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002416,"about_ca_topic_score_gemma":0.00439635,"domain_scores_codex":[0.9998711,0.00001885915,0.00000636825,0.00001682845,0.00004921459,0.00003767071],"domain_scores_gemma":[0.9995154,0.0002805563,0.00004741337,0.00003030809,0.00007389937,0.00005237412],"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":[0.00009741489,0.00005382968,0.001430068,0.00003979537,0.00001300164,0.0002267953,0.00006005399,0.9884135,0.006290652,0.001570313,0.0001132888,0.001691201],"study_design_scores_gemma":[0.00002107271,0.00003889094,0.0002755217,0.000003568359,0.000002756757,0.00001266725,0.00001776303,0.9982133,0.001141639,0.0001283473,0.0001401536,0.000004291221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675183,0.0001169461,0.02167848,0.0001381832,0.00004968004,0.00007351937,0.0001955979,0.0001366674,0.01009266],"genre_scores_gemma":[0.9920333,0.00005613493,0.006264723,0.00001923533,0.000004283836,0.00004339521,0.00009344759,0.00001413005,0.001471294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01002416,"threshold_uncertainty_score":0.01993161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891513652669742,"score_gpt":0.2272511596466976,"score_spread":0.2083360231200002,"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."}}