{"id":"W979634041","doi":"10.13182/fst10-a10887","title":"Assessment of Collateral Effects of Thermo-Oxidation on DIII-D In-Vessel Components in Preparation for In Situ Oxidation in DIII-D","year":2010,"lang":"en","type":"article","venue":"Fusion Science & Technology","topic":"Fusion materials and technologies","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Arizona","keywords":"DIII-D; Materials science; Torr; Tritium; Cryopump; Torus; Fusion power; Carbon fibers; Radiochemistry; Nuclear engineering; Analytical Chemistry (journal); Composite material; Chemistry; Nuclear physics; Composite number; Chromatography; Plasma; Tokamak; Physics; 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":[0.0003364854,0.0002746617,0.0002015711,0.000145213,0.0001950483,0.0002420581,0.00025066,0.000247087,0.001505793],"category_scores_gemma":[0.0006131597,0.0001649844,0.000148526,0.000190464,0.0002806551,0.0002309669,0.0002026833,0.0002977889,0.0001574028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000220562,"about_ca_system_score_gemma":0.0001179263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006547843,"about_ca_topic_score_gemma":0.001199159,"domain_scores_codex":[0.9998494,0.00002197002,0.00001016707,0.00003957263,0.00004158899,0.00003731531],"domain_scores_gemma":[0.9994516,0.0001600504,0.0001376458,0.00008960596,0.0001157308,0.00004548455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001746015,0.00001962872,0.0009642073,0.00004577926,0.000007983446,0.00006496339,0.00005543782,0.0001872874,0.9974672,0.00004608149,0.00002354061,0.0009433706],"study_design_scores_gemma":[0.000003487836,0.0002130752,0.003830094,0.000002175659,0.00001116231,0.00004020844,0.00003464122,0.0003835127,0.9949941,0.00001036174,0.0004749827,0.000002268695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976777,0.0001593941,0.001287863,0.00001080754,0.000005758164,0.00001116844,0.00006759191,0.00001550816,0.0007643104],"genre_scores_gemma":[0.9966454,0.0001823632,0.00157696,0.00001412808,0.00000362922,0.000013615,0.000172288,0.00002242938,0.001369119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001505793,"threshold_uncertainty_score":0.005037367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458593707851175,"score_gpt":0.311869944918402,"score_spread":0.2972840078398902,"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."}}