{"id":"W2619617014","doi":"10.1088/1367-2630/aa9c9f","title":"Statistical inference with quantum measurements: methodologies for nitrogen vacancy centers in diamond","year":2017,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Perimeter Institute; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Frequentist inference; Estimator; Statistical inference; Bayesian inference; Poisson distribution; Bayesian probability; Inference; Exponential function","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":[0.009419177,0.0005883067,0.0008964236,0.001349057,0.0007367543,0.001615158,0.00250207,0.001278442,0.001421562],"category_scores_gemma":[0.03473186,0.000552376,0.000813529,0.001056142,0.002743232,0.002444924,0.002358403,0.002073333,0.0001810155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506123,"about_ca_system_score_gemma":0.001384473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002613863,"about_ca_topic_score_gemma":0.002342538,"domain_scores_codex":[0.9963548,0.002287798,0.0001386643,0.0004035956,0.0006853382,0.0001298703],"domain_scores_gemma":[0.9765748,0.02022386,0.00116213,0.001196246,0.000632168,0.0002108402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006544927,0.00007742641,0.001933804,0.0001953629,0.0001019952,0.0001237711,0.0002126431,0.3904645,0.002239828,0.5493184,0.0005997049,0.05466707],"study_design_scores_gemma":[0.000006893147,0.00001504518,0.0002160771,0.00001354211,0.000005755031,0.00002214071,0.00001544157,0.8253226,0.0005733257,0.1734062,0.0003905183,0.0000125494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006816292,0.0002090646,0.9921469,0.0002117829,0.00001066946,0.00002125943,0.00003012534,0.00005224822,0.0005016483],"genre_scores_gemma":[0.4562744,0.001031064,0.5390148,0.0002919156,0.0001727766,0.0003433904,0.0002485095,0.0001755838,0.002447473],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009419177,"threshold_uncertainty_score":0.04981393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1693647121011241,"score_gpt":0.4010887182515615,"score_spread":0.2317240061504374,"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."}}