{"id":"W4389571968","doi":"10.21203/rs.3.rs-3553470/v1","title":"The most sustainable high entropy alloys for the future","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"European Commission; Javna Agencija za Raziskovalno Dejavnost RS; Max-Planck-Gesellschaft; University of Alberta","keywords":"Sustainability; High entropy alloys; Enabling; Sustainable development; Entropy (arrow of time); Compatibility (geochemistry); Environmental economics; Computer science; Materials science; Nanotechnology; Metallurgy; Economics; Political science; Thermodynamics","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":[0.001038984,0.0005640462,0.0005926329,0.000986675,0.001235848,0.002745985,0.0008467759,0.002498107,0.01016702],"category_scores_gemma":[0.001790966,0.0003797802,0.0002966814,0.0007025697,0.002073007,0.00618108,0.001344901,0.001654788,0.002369134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401073,"about_ca_system_score_gemma":0.001453154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000634718,"about_ca_topic_score_gemma":0.0009809177,"domain_scores_codex":[0.9995613,0.0001088455,0.00001962216,0.00006239954,0.0002004805,0.00004742613],"domain_scores_gemma":[0.9995486,0.0001176039,0.00004943185,0.00008290768,0.0001593472,0.0000420316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000275881,0.00003017865,0.0001667984,0.0002797437,0.00001431433,0.00005933772,0.00006319251,0.002129963,0.003504179,0.9730881,0.006112918,0.01452364],"study_design_scores_gemma":[0.000005826511,0.00002246491,0.0001853302,0.0001047974,0.0000067756,0.00009484898,0.0001549422,0.002400195,0.002702371,0.9301853,0.064128,0.000009134895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1014174,0.1697495,0.07329662,0.07517592,0.004969299,0.00008983511,0.000693766,0.000369856,0.5742379],"genre_scores_gemma":[0.7717415,0.06919597,0.03429675,0.004431125,0.002532955,0.0001313236,0.0004356264,0.0004006274,0.1168342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01016702,"threshold_uncertainty_score":0.03401214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247218863485613,"score_gpt":0.3342969290881883,"score_spread":0.3018247404533321,"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."}}