{"id":"W83600830","doi":"10.13182/fst08-a1893","title":"Tritiation of Semiconductor Materials for Micropower Application","year":2008,"lang":"en","type":"article","venue":"Fusion Science & Technology","topic":"Advanced Energy Technologies and Civil Engineering Innovations","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency","keywords":"Materials science; Tritium; Silicon; Semiconductor; Irradiation; Analytical Chemistry (journal); Radiochemistry; Optoelectronics; Chemistry","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":[0.0001519504,0.0003581371,0.0002626943,0.0002643102,0.0001864752,0.0003090246,0.0004039407,0.0003067038,0.001581608],"category_scores_gemma":[0.0001727462,0.0001811849,0.000238258,0.00026961,0.0002600694,0.0003603162,0.000333316,0.0005599599,0.0007352056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589123,"about_ca_system_score_gemma":0.0001373051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411041,"about_ca_topic_score_gemma":0.0003182552,"domain_scores_codex":[0.9998794,0.00001004894,0.000006464401,0.00003123601,0.00005579913,0.00001706393],"domain_scores_gemma":[0.9999059,0.00002350451,0.00002328213,0.00002374669,0.00001632881,0.000007210088],"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":[0.00001469476,0.000005496428,0.00006639324,0.00007207798,0.00000487185,0.0000634581,0.00002501108,0.00008953157,0.9944137,0.0005151324,0.000119282,0.004610479],"study_design_scores_gemma":[0.000001877929,0.00003770961,0.0001354087,0.000003168288,0.000005407273,0.0001305119,0.000005445293,0.0003241669,0.9944992,0.00005460736,0.00479964,0.000002797767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7952362,0.0296585,0.1535474,0.0005861009,0.0006969309,0.0002635529,0.0006163232,0.001586804,0.01780822],"genre_scores_gemma":[0.9352775,0.008008446,0.04686547,0.0002399391,0.00009685213,0.0001161937,0.0004079939,0.0002122939,0.00877524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001581608,"threshold_uncertainty_score":0.005290985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535326574537145,"score_gpt":0.263611027203891,"score_spread":0.2482577614585195,"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."}}