{"id":"W186117384","doi":"10.1007/978-3-642-36315-3_12","title":"Design of an Online Testable Ternary Circuit from the Truth Table","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Toffoli gate; Truth table; Computer science; Adder; Ternary operation; Arithmetic; Logic gate; Algorithm; NAND gate; Theoretical computer science; Mathematics; Programming language; Quantum gate; Telecommunications; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.000908865,0.0006300791,0.0006919256,0.0003632554,0.0003461577,0.0006199504,0.006861815,0.0002929576,0.00005278309],"category_scores_gemma":[0.0001487033,0.0004374652,0.0001171424,0.000714835,0.0007566748,0.0006262031,0.001644058,0.001128322,0.0000260137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000112208,"about_ca_system_score_gemma":0.0007037222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003866514,"about_ca_topic_score_gemma":0.00002634945,"domain_scores_codex":[0.9956399,0.0001216988,0.0006833277,0.001665485,0.001110173,0.0007794437],"domain_scores_gemma":[0.9939442,0.00264244,0.0005019873,0.002433141,0.0002761523,0.0002021328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003634283,0.00007292016,0.00001717899,0.00001332066,0.00001673449,0.00004610786,0.0007934168,0.35169,0.0003723433,0.002275045,0.00003624769,0.6446631],"study_design_scores_gemma":[0.0001993314,0.0002742562,0.0002084382,0.0003247175,0.000009272291,0.00005083709,3.364507e-7,0.8363231,0.000719046,0.1610784,0.0003544963,0.0004576895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001160459,0.0006767808,0.9948977,0.0004420693,0.00185049,0.0004721993,0.00003800551,0.0001704696,0.0002918616],"genre_scores_gemma":[0.05533297,0.0000370845,0.9418088,0.001373568,0.001154507,0.00000854205,0.00002441417,0.0000634336,0.0001967452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6442054,"threshold_uncertainty_score":0.9998077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058517504507761,"score_gpt":0.2294952031301365,"score_spread":0.1989100280850589,"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."}}