{"id":"W4393669314","doi":"10.5281/zenodo.8419808","title":"Results of the ISMRM 2020 joint Reproducible Research &amp; Quantitative MR study groups reproducibility challenge on phantom and human brain T<sub>1</sub> mapping","year":2023,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Philips (Canada); McGill University Health Centre; University of British Columbia; McGill University; Polytechnique Montréal","funders":"","keywords":"Reproducibility; Imaging phantom; Nuclear medicine; Joint (building); Medical physics; Biomedical engineering; Computer science; Medicine; Mathematics; Engineering; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006093359,0.004293992,0.001819856,0.002878852,0.001437904,0.002540213,0.004431915,0.003419786,0.01097328],"category_scores_gemma":[0.0118209,0.000642574,0.00267589,0.002613968,0.0009951793,0.001112624,0.003576462,0.002495918,0.02961654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346434,"about_ca_system_score_gemma":0.003264311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01828783,"about_ca_topic_score_gemma":0.03976535,"domain_scores_codex":[0.9954935,0.001206141,0.0004247284,0.001093495,0.001441668,0.0003404566],"domain_scores_gemma":[0.9944627,0.001595928,0.000280768,0.00170379,0.001587834,0.0003690295],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005374534,0.0002417572,0.001882265,0.001247711,0.0002081183,0.0001350638,0.0000563934,0.002057554,0.001239342,0.0006413431,0.9718758,0.01987721],"study_design_scores_gemma":[0.001573892,0.0003295109,0.02257299,0.0007916031,0.0003916229,0.001069978,0.0003036823,0.01212252,0.009709998,0.005650643,0.9452572,0.0002263593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007167058,0.001298651,0.004336625,0.001003915,0.0004339111,0.0003293965,0.972935,0.007184057,0.005311466],"genre_scores_gemma":[0.003334537,0.0001547159,0.00430262,0.0002096197,0.00003527953,0.0003402269,0.9893523,0.0004038225,0.001867007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9939066,"threshold_uncertainty_score":0.03670925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105730157136922,"score_gpt":0.3808577434283707,"score_spread":0.2751275862914486,"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."}}