{"id":"W3209817246","doi":"10.5281/zenodo.3985105","title":"marcus-ludwig/OpenMS: OpenMS 2.4.0 with ZODIAC workflow modifications","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workflow; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001933468,0.0001864712,0.0001636443,0.0001069992,0.001127928,0.0005744142,0.001089666,0.00006616428,0.004350291],"category_scores_gemma":[0.0001408668,0.000194123,0.00004099308,0.000817873,0.0001117026,0.0002678507,0.00042162,0.0003372816,0.01158341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056609,"about_ca_system_score_gemma":0.000004734269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001147811,"about_ca_topic_score_gemma":6.285222e-7,"domain_scores_codex":[0.9985692,0.00007877785,0.000266213,0.0004070197,0.0003159414,0.0003628505],"domain_scores_gemma":[0.9987177,0.00002135954,0.00005005548,0.0005585778,0.000348705,0.0003036031],"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":[0.00011438,0.0002481009,0.00001423816,0.0002611942,0.0002474891,0.00001851347,0.005114053,0.2648229,0.02078517,0.01757352,0.4861231,0.2046774],"study_design_scores_gemma":[0.0004240011,0.0001191644,0.0001844969,0.00003321188,0.0000259759,0.00002226938,0.0001674549,0.1194782,0.0006483169,0.0001846013,0.8783972,0.0003150797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01464458,0.0002591634,0.7085425,0.006790848,0.000126617,0.001882419,0.0005708962,0.006948241,0.2602348],"genre_scores_gemma":[0.9862553,0.0001271509,0.009407694,0.0003074647,0.0002223276,8.253558e-7,0.00134758,0.002044765,0.0002868905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9716107,"threshold_uncertainty_score":0.9965599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395126887596477,"score_gpt":0.2163568887138878,"score_spread":0.1768441999542401,"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."}}