{"id":"W2021759821","doi":"10.1107/s0909049511056305","title":"<i>MxDC</i>and<i>MxLIVE</i>: software for data acquisition, information management and remote access to macromolecular crystallography beamlines","year":2012,"lang":"en","type":"article","venue":"Journal of Synchrotron Radiation","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Biotechnology and Biological Sciences Research Council; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Saskatchewan; Canadian Light Source","keywords":"Beamline; Software; Data acquisition; Interface (matter); Computer science; Graphical user interface; Data management; Data collection; User interface; Web browser; Sample (material); Operating system; Database; The Internet; Optics; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005402057,0.0001263308,0.0002141691,0.0008164851,0.0002158719,0.001043514,0.0009125872,0.00004037268,0.00001721595],"category_scores_gemma":[0.001152011,0.000101136,0.00005412972,0.00073405,0.00003857948,0.004491024,0.0006789897,0.00006685691,0.00000929205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003515457,"about_ca_system_score_gemma":0.00002294803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009288344,"about_ca_topic_score_gemma":0.000001962604,"domain_scores_codex":[0.9976668,0.0000860962,0.0008480863,0.0002641709,0.0008883395,0.0002464844],"domain_scores_gemma":[0.9977202,0.0002427013,0.0007045856,0.0006435601,0.0004732992,0.0002156606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000929843,0.00004662811,0.008303721,0.00006817914,0.000078504,0.000001906789,0.0005112988,0.000727185,0.00009567418,0.000304896,0.09902082,0.8907482],"study_design_scores_gemma":[0.002253219,0.0003265662,0.2486507,0.0001995282,0.0002646603,0.0001036038,0.0008211555,0.02561529,0.0001913017,0.008169604,0.7129438,0.0004605891],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09306034,0.0008023433,0.9031025,0.001393905,0.0009568917,0.0005212883,0.00008229639,0.00001795369,0.00006253649],"genre_scores_gemma":[0.8373768,0.0002507522,0.1599864,0.001644855,0.0004779214,0.000007105297,0.0001772312,0.00001245827,0.00006651647],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8902876,"threshold_uncertainty_score":0.9999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06655881351645956,"score_gpt":0.3680915505258887,"score_spread":0.3015327370094291,"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."}}