{"id":"W4288447248","doi":"10.1002/mrm.29366","title":"On the open‐source landscape of <i>Magnetic Resonance in Medicine</i>","year":2022,"lang":"en","type":"editorial","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Montreal Heart Institute","funders":"","keywords":"Magnetic resonance imaging; Nuclear magnetic resonance; Medicine; Physics; Radiology","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":[0.01462725,0.003292036,0.002785322,0.006436199,0.004155076,0.01458145,0.003710631,0.01485238,0.07480505],"category_scores_gemma":[0.04668526,0.001433841,0.002615771,0.002176022,0.003137716,0.006620013,0.003357348,0.02021238,0.0486198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003065065,"about_ca_system_score_gemma":0.004045683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001499365,"about_ca_topic_score_gemma":0.006142626,"domain_scores_codex":[0.9889419,0.001527542,0.0008072235,0.0008395694,0.007229621,0.0006541105],"domain_scores_gemma":[0.9341246,0.02919749,0.003119111,0.001858798,0.02099558,0.0107045],"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":[0.000011268,0.000003624831,0.000004498531,0.00006406823,0.000003701715,0.00002496732,0.000005990465,0.000005502572,0.00003792581,0.0002728001,0.9971008,0.002464918],"study_design_scores_gemma":[0.00004243206,0.00001819577,0.00008096327,0.0002832763,0.00002091183,0.0001089908,0.00002153124,0.00005849462,0.00009924899,0.001726585,0.9975222,0.00001716177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002169626,0.003066844,0.0003476146,0.03121445,0.9597249,0.00001963855,0.00008966141,0.0003007281,0.005214443],"genre_scores_gemma":[0.0002796954,0.002474222,0.000277354,0.02463867,0.9484657,0.00003059809,0.00006775985,0.0003834737,0.02338265],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9962894,"threshold_uncertainty_score":0.2502478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746768715709371,"score_gpt":0.3207466162315605,"score_spread":0.3032789290744668,"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."}}