{"id":"W7002053343","doi":"","title":"Methodological guide to deploy Functional Analysis into CODAC Systems for the Tritium Processing in ITER","year":2018,"lang":"en","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fusion power; Tokamak; Tritium; Fusion; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005560464,0.001389384,0.0005926162,0.0025593,0.001245293,0.003982977,0.002959357,0.001266112,0.0455322],"category_scores_gemma":[0.01037846,0.0009636552,0.001590148,0.00217693,0.001175507,0.003036388,0.002717506,0.003256741,0.02327417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379565,"about_ca_system_score_gemma":0.004019906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004548706,"about_ca_topic_score_gemma":0.005386821,"domain_scores_codex":[0.9975321,0.0008134222,0.0003676711,0.0003213974,0.000832633,0.0001326388],"domain_scores_gemma":[0.9960295,0.001440287,0.0002018883,0.0008521957,0.001359955,0.0001161375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001299318,0.0003082438,0.001444285,0.001986782,0.0000775805,0.0005167756,0.002573297,0.01257749,0.01095964,0.5158095,0.06547492,0.3881416],"study_design_scores_gemma":[0.00003609337,0.0001314636,0.0008988379,0.001007856,0.00003003576,0.0003315927,0.0009931122,0.02324095,0.006111903,0.0929995,0.8741595,0.00005925935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009385343,0.0004602577,0.9561884,0.0004127953,0.0001789218,0.001002276,0.002738465,0.004122703,0.03395768],"genre_scores_gemma":[0.006579977,0.0007050149,0.9700648,0.0002190442,0.00004469151,0.002102794,0.002471766,0.001583703,0.01622815],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0455322,"threshold_uncertainty_score":0.1523204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04781544068512521,"score_gpt":0.3246348271618701,"score_spread":0.2768193864767449,"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."}}