{"id":"W2613902275","doi":"","title":"Canadian Penning Trap Mass Measurements using a Position Sensitive MCP","year":2015,"lang":"en","type":"article","venue":"Bulletin of the American Physical Society","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Penning trap; Trap (plumbing); Position (finance); Atomic physics; Physics; Materials science; Nuclear physics; Meteorology; Electron; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000643089,0.0006374868,0.0005325589,0.001754409,0.002352458,0.00109101,0.001641468,0.0008327104,0.003770877],"category_scores_gemma":[0.00121883,0.0005816516,0.0003233798,0.003519152,0.000631072,0.0007188291,0.001449929,0.001023314,0.0008696951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003827199,"about_ca_system_score_gemma":0.006046232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5026571,"about_ca_topic_score_gemma":0.7339796,"domain_scores_codex":[0.998673,0.00008508425,0.00001461242,0.0002690229,0.0007996719,0.0001586394],"domain_scores_gemma":[0.9991548,0.00006400092,0.00009856784,0.0000785097,0.0005348847,0.00006912433],"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":[0.001912378,0.0004539637,0.2176365,0.0005447658,0.000674871,0.0008595383,0.001517573,0.03931837,0.4448096,0.01320918,0.02860568,0.2504575],"study_design_scores_gemma":[0.0004061678,0.0009038828,0.4953656,0.0001673754,0.0008111782,0.0007912081,0.0007835923,0.264414,0.1664524,0.003091954,0.06614062,0.0006719293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7112199,0.001667673,0.1718361,0.001191755,0.0002936203,0.0005310779,0.0120778,0.002844541,0.09833754],"genre_scores_gemma":[0.9142258,0.0003161193,0.07103259,0.0002171475,0.00005517618,0.0001312015,0.001376969,0.0001182225,0.01252679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4973429,"threshold_uncertainty_score":0.9994627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302200337361774,"score_gpt":0.3611749041694111,"score_spread":0.2309548704332338,"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."}}