{"id":"W1973391215","doi":"10.1016/s0022-3115(99)00215-9","title":"Interpretation of the impurity distribution in the divertor during divertor plate biasing using the DIVIMP code","year":2000,"lang":"en","type":"article","venue":"Journal of Nuclear Materials","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hydro-Québec; Institut National de la Recherche Scientifique; MPB Technologies & Communications (Canada); Stem Cell Network","funders":"","keywords":"Divertor; Ohmic contact; Impurity; Diffusion; Plasma; Biasing; Sputtering; Chemistry; Atomic physics; Ion; Toroid; Tokamak; Condensed matter physics; Nuclear physics; Materials science; Physics; Voltage; Electrode; Nanotechnology; Thermodynamics; Thin film","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":[0.0002001188,0.0002772564,0.0002369651,0.0002974864,0.0004654861,0.0005065171,0.0005401565,0.0003100883,0.003081452],"category_scores_gemma":[0.000565915,0.0001716408,0.0001820405,0.0002440456,0.0002253525,0.000305044,0.0003774871,0.0004869767,0.0003679096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121652,"about_ca_system_score_gemma":0.0002922971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372505,"about_ca_topic_score_gemma":0.001352546,"domain_scores_codex":[0.9999547,0.00000791495,0.000002178817,0.000007412144,0.00001755017,0.00001025991],"domain_scores_gemma":[0.9997957,0.00007734476,0.00001619757,0.00003109753,0.00006662017,0.00001299938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002555661,0.0001394953,0.03614856,0.0006317121,0.00009847536,0.002579915,0.001650494,0.3064958,0.4771796,0.03308737,0.007507429,0.1319255],"study_design_scores_gemma":[0.00005079647,0.00004791541,0.00705185,0.00002576922,0.00001521125,0.0002325034,0.0001016385,0.8875681,0.09848139,0.003093867,0.003312269,0.0000188101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6511893,0.0002570077,0.3152859,0.00031501,0.0001147875,0.00007588983,0.001138324,0.006315432,0.02530829],"genre_scores_gemma":[0.9737775,0.00006417679,0.02340967,0.00003458131,0.000007754619,0.00002590668,0.0002833303,0.0006928529,0.001704184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003081452,"threshold_uncertainty_score":0.01030844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442759452303505,"score_gpt":0.2617267415609716,"score_spread":0.2472991470379365,"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."}}