{"id":"W4392052965","doi":"10.20944/preprints202402.1211.v1","title":"Test-Retest Reproducibility of Reduced Field of View Density-Weighted CRT MRSI at 3T","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; Wellcome Trust; National Center for Advancing Translational Sciences; Purdue University","keywords":"Reproducibility; Field (mathematics); Test (biology); Mathematics; Statistics; Geology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001524638,0.0006038718,0.001395729,0.0003681746,0.00004872837,0.00001922548,0.0008344735,0.0007381793,0.001924519],"category_scores_gemma":[0.001654676,0.0005807634,0.0007591482,0.000590982,0.0001283442,0.00006188518,0.00146387,0.001656251,0.0004322661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139888,"about_ca_system_score_gemma":0.0001699845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007171268,"about_ca_topic_score_gemma":0.0001243549,"domain_scores_codex":[0.9954364,0.0001191839,0.001494575,0.002067923,0.0004583802,0.0004235557],"domain_scores_gemma":[0.9933646,0.0003103085,0.0003528881,0.00525609,0.0005712585,0.0001449022],"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":[0.00002447767,0.0001565672,0.0917873,0.003666791,0.001287492,0.00002480049,0.001265701,0.001097427,0.8984386,0.0003393694,0.0009863492,0.0009251599],"study_design_scores_gemma":[0.0001189798,0.00003134899,0.01085567,0.0009425969,0.0006925943,0.00001095855,0.00005453336,0.00167885,0.9793941,0.004784505,0.0009077102,0.0005281762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815567,0.001734432,0.00003621817,0.0002191769,0.001048227,0.0005384167,0.0001027515,0.0003973704,0.01436671],"genre_scores_gemma":[0.9974888,0.0005033498,0.0001354718,0.00003579765,0.0001756336,0.0000555167,0.0000939474,0.00009591339,0.001415576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08095551,"threshold_uncertainty_score":0.9996644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05822777236073436,"score_gpt":0.3029472553101729,"score_spread":0.2447194829494385,"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."}}