{"id":"W2030534164","doi":"10.1103/physrevlett.84.3274","title":"Precision Microwave Measurement of the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mn>2</mml:mn><mml:mrow><mml:msup><mml:mrow><mml:mi/></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"italic\">P</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mi>−</mml:mi><mml:mn>2</mml:mn><mml:mrow><mml:msup><mml:mrow><mml:mi/></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"italic\">P</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>Interval in Atomic Helium","year":2000,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Algorithm","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":[0.0008665262,0.000862877,0.0003640241,0.0008621542,0.0007467157,0.001364061,0.001099308,0.00101292,0.01628886],"category_scores_gemma":[0.002190621,0.0005778543,0.0004727393,0.0009412268,0.000512798,0.001093134,0.0005378277,0.001581992,0.009694381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006781,"about_ca_system_score_gemma":0.000707671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002263283,"about_ca_topic_score_gemma":0.003756034,"domain_scores_codex":[0.9992687,0.00006131372,0.00002023067,0.0002573983,0.0003083846,0.00008398025],"domain_scores_gemma":[0.9992575,0.0001562105,0.00008457326,0.0001604294,0.0003085608,0.00003278081],"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":[0.0006569221,0.0001986517,0.007131519,0.0005164573,0.0001475888,0.0002013223,0.0007348778,0.001915569,0.8250262,0.01049825,0.04444619,0.1085265],"study_design_scores_gemma":[0.00007218586,0.000382346,0.02830608,0.00008328255,0.0001554799,0.0003366118,0.0002644564,0.008956503,0.8447621,0.002218283,0.1143674,0.00009526962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3165424,0.002445257,0.4192819,0.002519649,0.002056562,0.0003210325,0.01125146,0.01206234,0.2335194],"genre_scores_gemma":[0.8271298,0.001407314,0.09027752,0.0007883367,0.0002378877,0.0003958121,0.005396665,0.001794297,0.07257234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01628886,"threshold_uncertainty_score":0.05449164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127798673199928,"score_gpt":0.257886327886455,"score_spread":0.2366083411544558,"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."}}