{"id":"W2764286175","doi":"10.3390/cryst7100309","title":"Challenges of Handling, Processing, and Studying Liquid and Supercooled Materials at Temperatures above 3000 K with Electrostatic Levitation","year":2017,"lang":"en","type":"article","venue":"Crystals","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"Korea Research Institute of Standards and Science; California Institute of Technology","keywords":"Supercooling; Levitation; Materials science; Refractory metals; Crucible (geodemography); Metallurgy; Analytical Chemistry (journal); Thermodynamics; Mechanical engineering; Chemistry; Magnet","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":[0.001101283,0.0004882989,0.0008616647,0.0006097741,0.0005185194,0.0009914601,0.0007810061,0.0007743355,0.0008215162],"category_scores_gemma":[0.0009259573,0.0003796881,0.0004461244,0.0006614852,0.001017423,0.001747515,0.0007976084,0.001215649,0.000843832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004455305,"about_ca_system_score_gemma":0.0007225668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004646168,"about_ca_topic_score_gemma":0.0007695731,"domain_scores_codex":[0.9993168,0.0001264103,0.00004981783,0.0001479595,0.0002958117,0.00006318378],"domain_scores_gemma":[0.9991807,0.0003362079,0.0001371325,0.0001202608,0.0001871,0.00003854308],"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":[0.00006963945,0.00004438897,0.001613213,0.00173192,0.0000542899,0.000348991,0.0004654748,0.002746201,0.9254616,0.004953707,0.0007967985,0.06171386],"study_design_scores_gemma":[0.00001610868,0.000360131,0.004913721,0.0002204857,0.00006247351,0.002016834,0.0008693443,0.01110181,0.9207515,0.009312864,0.05026491,0.0001097837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5387031,0.1055658,0.3326522,0.00459896,0.0004766997,0.0001933249,0.0007342462,0.0009207812,0.01615482],"genre_scores_gemma":[0.6415609,0.06668571,0.2853377,0.000549041,0.0004720462,0.0003877063,0.0007435028,0.0003705352,0.003892944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001101283,"threshold_uncertainty_score":0.005824208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075242433424944,"score_gpt":0.2283831379822685,"score_spread":0.2176307136480191,"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."}}