{"id":"W7080137479","doi":"10.5281/zenodo.17064529","title":"Data for C-DIR: Double Inversion Recovery with Controlled Artifact Suppression in Brain MRI","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artifact (error); Magnetic resonance imaging; Magnetic resonance spectroscopic imaging; Inversion (geology); Table (database)","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":[0.001488828,0.00284503,0.001970993,0.002092124,0.0007171315,0.001906874,0.002917223,0.002629866,0.06608655],"category_scores_gemma":[0.008330738,0.0005514144,0.00149546,0.003486057,0.0004669874,0.0009196741,0.001450461,0.00173731,0.08581078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144966,"about_ca_system_score_gemma":0.001867596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237334,"about_ca_topic_score_gemma":0.02523692,"domain_scores_codex":[0.9986744,0.0002521844,0.0001628039,0.0004819976,0.0002886055,0.0001400462],"domain_scores_gemma":[0.9974313,0.00100713,0.000268904,0.0006175371,0.0005242348,0.0001507862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002417325,0.00004541209,0.0009264252,0.001470579,0.00008749729,0.00004784768,0.00002009101,0.0005209331,0.0002477304,0.0003512471,0.9913921,0.004648396],"study_design_scores_gemma":[0.0009712676,0.00006620144,0.009783609,0.0007573342,0.0001753685,0.0003023551,0.00007592227,0.001008282,0.001275824,0.004164862,0.9813275,0.00009158891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002054794,0.0001364741,0.0001692554,0.00004876261,0.00002727015,0.0000159489,0.9986697,0.0003247681,0.0004023148],"genre_scores_gemma":[0.0007016035,0.00006993813,0.0004450183,0.00004968559,0.000009207034,0.0001351806,0.9979614,0.0001101936,0.0005177256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06608655,"threshold_uncertainty_score":0.2210815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789261394238268,"score_gpt":0.2590421713826019,"score_spread":0.2211495574402192,"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."}}