{"id":"W4408449198","doi":"10.1021/acs.analchem.4c06520","title":"imzML Writer: An Easy-to-Use Python Pipeline for Conversion of Continuously Acquired Raw Mass Spectrometry Imaging Data to imzML Format","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Vancouver Island University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Terry Fox Research Institute; Canada Foundation for Innovation; Vancouver Island University; Michael Smith Health Research BC; University of Victoria","keywords":"Chemistry; Python (programming language); Mass spectrometry; Mass spectrometry imaging; Pipeline (software); Raw data; Data format; Chromatography; Computer graphics (images); Programming language; Computer hardware; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002758437,0.00280609,0.001450754,0.002080146,0.001061303,0.002701431,0.005392442,0.001174302,0.06999869],"category_scores_gemma":[0.006993685,0.002026413,0.001717747,0.001299424,0.001139924,0.003630021,0.005895927,0.003975613,0.06737439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014568,"about_ca_system_score_gemma":0.002475055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001827799,"about_ca_topic_score_gemma":0.002016286,"domain_scores_codex":[0.998456,0.0001765149,0.0001747911,0.0004312541,0.0005263849,0.0002350061],"domain_scores_gemma":[0.9980951,0.0005102734,0.0002558046,0.0004210545,0.0004922348,0.0002255069],"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":[0.001190602,0.0003098615,0.0032951,0.002130492,0.0002806887,0.0008830338,0.0008452712,0.004079188,0.0301224,0.007409765,0.8077763,0.1416772],"study_design_scores_gemma":[0.0005692342,0.0002345482,0.007855818,0.0005531883,0.0001276684,0.00123572,0.0002151773,0.07321434,0.116829,0.02469872,0.7738578,0.0006086984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0028603,0.0001818014,0.2137213,0.0002916841,0.0001706072,0.0004428301,0.03424661,0.7411779,0.006907057],"genre_scores_gemma":[0.03076981,0.000672627,0.3883832,0.002107279,0.0002008281,0.004108043,0.1354719,0.4152435,0.0230429],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.06999869,"threshold_uncertainty_score":0.2341689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559403368174195,"score_gpt":0.3145788036350206,"score_spread":0.2889847699532787,"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."}}