{"id":"W6893974282","doi":"10.5281/zenodo.6861059","title":"Towards comparable MRI: The role of open-source software and community standards","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Workflow; Session (web analytics); Software; Data collection; Work (physics)","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.2218744,0.002491415,0.002662475,0.0084868,0.004697168,0.02593628,0.01577985,0.01110786,0.01839501],"category_scores_gemma":[0.3636758,0.002373709,0.00273313,0.006761478,0.01413346,0.05189309,0.03810804,0.02247476,0.02026311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004426581,"about_ca_system_score_gemma":0.01637721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003432089,"about_ca_topic_score_gemma":0.001850848,"domain_scores_codex":[0.8670346,0.05959792,0.01181659,0.01363606,0.04283482,0.005080103],"domain_scores_gemma":[0.5073334,0.1611769,0.02044332,0.1591189,0.1236885,0.02823888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006245385,0.0005233282,0.003242128,0.002280715,0.0002961006,0.000501618,0.006791563,0.003047673,0.01139421,0.3964803,0.1851411,0.3896767],"study_design_scores_gemma":[0.0001230712,0.0002029499,0.001482474,0.002449915,0.0000680611,0.0003409866,0.001400327,0.005346667,0.005623498,0.4214421,0.5612839,0.0002360316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004199666,0.003267642,0.8809783,0.05872695,0.006060449,0.0005855383,0.0009341906,0.02724366,0.01800359],"genre_scores_gemma":[0.03171855,0.003016491,0.8960658,0.01360852,0.003038258,0.001672956,0.006573888,0.03552735,0.008778154],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9842201,"threshold_uncertainty_score":0.9595674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04177974941267144,"score_gpt":0.3147841484039352,"score_spread":0.2730043989912638,"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."}}