{"id":"W6931266258","doi":"10.5281/zenodo.5482379","title":"cheminfo/mzData: v4.0.0","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Parsing; Extension (predicate logic); Term (time); Bottom-up parsing; Data file","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002397382,0.003978066,0.002800329,0.003902445,0.001390126,0.005111245,0.008162454,0.003159617,0.5358562],"category_scores_gemma":[0.006932063,0.004227994,0.002704485,0.00289251,0.0009066836,0.005415328,0.004405499,0.003859094,0.579954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771212,"about_ca_system_score_gemma":0.002492341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005420657,"about_ca_topic_score_gemma":0.004478888,"domain_scores_codex":[0.9986567,0.000144215,0.0001090751,0.0002966632,0.0005846776,0.0002086288],"domain_scores_gemma":[0.9979936,0.000421333,0.0001571562,0.0006977713,0.000512025,0.0002181656],"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":[0.000206637,0.00002306655,0.0003667792,0.0008512823,0.00007065611,0.0000714793,0.00006333603,0.0003312725,0.001834214,0.002301962,0.9807097,0.01316969],"study_design_scores_gemma":[0.0002672743,0.00002439703,0.0007045892,0.0001365497,0.00004172183,0.0001541024,0.00003287187,0.001207592,0.01352911,0.004542334,0.9792526,0.000106722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005221423,0.0003440177,0.02284104,0.000518207,0.000317413,0.0001250659,0.2685885,0.6834843,0.02325941],"genre_scores_gemma":[0.009500049,0.0007265356,0.02449997,0.001683571,0.0001559247,0.0006442774,0.441689,0.4860716,0.03502911],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5358562,"threshold_uncertainty_score":0.6620448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256854664731212,"score_gpt":0.2631596628907968,"score_spread":0.2405911162434847,"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."}}