{"id":"W3031764034","doi":"10.1016/j.jnucmat.2020.152250","title":"The influence of transition metal solutes on the dissolution and diffusion of oxygen in tungsten","year":2020,"lang":"en","type":"article","venue":"Journal of Nuclear Materials","topic":"Advanced materials and composites","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Dissolution; Oxygen; Diffusion; Tungsten; Chemistry; Vacancy defect; Chemical physics; Transition metal; Solubility; Metal; Thermal diffusivity; Inorganic chemistry; Thermodynamics; Physical chemistry; Crystallography; Catalysis","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":[0.0002201791,0.0001376385,0.0002562189,0.0001475927,0.0003023334,0.0005708035,0.0003125959,0.0002835031,0.00115395],"category_scores_gemma":[0.0007558783,0.0001383149,0.0001406536,0.0001566252,0.0005613875,0.0005098646,0.0002189543,0.0004519435,0.0001598578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004090996,"about_ca_system_score_gemma":0.0002993697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004464381,"about_ca_topic_score_gemma":0.004092582,"domain_scores_codex":[0.999892,0.00002073562,0.000007086323,0.00002474205,0.00002334686,0.00003207718],"domain_scores_gemma":[0.999613,0.0002605002,0.00004606578,0.00001553863,0.00004294265,0.00002200827],"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":[0.00255029,0.00004742667,0.001131729,0.0001510633,0.00001950659,0.000150919,0.0002456444,0.0005812483,0.9898247,0.0009706236,0.0001298783,0.004196976],"study_design_scores_gemma":[0.00003731271,0.0002818288,0.002116574,0.000007714849,0.00001592924,0.00006833156,0.000161185,0.003991587,0.9920174,0.0001074019,0.001179487,0.00001516594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988077,0.0002651926,0.0001993395,0.00004041462,0.000009806155,0.000003010074,0.00004456697,0.000005556606,0.0006245122],"genre_scores_gemma":[0.9988098,0.0002079258,0.0002554625,0.00001025161,0.000004840106,0.000002102806,0.00006236328,0.000007753433,0.0006395397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004464381,"threshold_uncertainty_score":0.008876801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007342510668776061,"score_gpt":0.1849556040495517,"score_spread":0.1776130933807757,"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."}}