{"id":"W2140607879","doi":"10.1002/mrc.1446","title":"NMR quantum computing: applying theoretical methods to designing enhanced systems","year":2004,"lang":"en","type":"article","venue":"Magnetic Resonance in Chemistry","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Computational chemistry; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003404283,0.0002989978,0.0003692886,0.00003269511,0.0001216335,0.00006579316,0.0005248412,0.0002337292,0.0002600285],"category_scores_gemma":[0.0002204717,0.0003182919,0.00007489294,0.0003865456,0.0001933491,0.00004143882,0.0001666802,0.0004680869,0.00002039324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481309,"about_ca_system_score_gemma":0.00006683787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003156707,"about_ca_topic_score_gemma":5.93374e-7,"domain_scores_codex":[0.997878,0.00002314738,0.0005704236,0.0006902975,0.0002549154,0.0005831904],"domain_scores_gemma":[0.998715,0.0002510178,0.000112212,0.0006762773,0.0000654408,0.0001800781],"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":[0.00002692846,0.00008886258,0.00007944358,0.0002147036,0.000002236758,0.00001502916,0.0001923992,0.007475808,0.9227819,0.01187873,0.00003449188,0.0572095],"study_design_scores_gemma":[0.0005917975,0.00002435595,0.00004972189,0.000684652,0.000009504628,0.00003473868,0.0004710423,0.008285087,0.9632488,0.01423203,0.01187058,0.0004976933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2693322,0.003718945,0.6938236,0.0002294885,0.00002736917,0.0005135521,0.00001394764,0.0004688686,0.03187199],"genre_scores_gemma":[0.7984191,0.00006117945,0.2002916,0.00006681036,0.0001396685,0.0005933828,0.000008573631,0.0000474135,0.0003721838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5290869,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792280531744866,"score_gpt":0.3301076846496196,"score_spread":0.3121848793321709,"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."}}