{"id":"W6949331303","doi":"10.5281/zenodo.16877666","title":"LVIS Product Data Viewer","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Code (set theory); Product (mathematics); Visualization; Data access; Information visualization","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":[0.003121886,0.002763957,0.001522334,0.005536784,0.0009271465,0.006327072,0.004493569,0.001827412,0.3389809],"category_scores_gemma":[0.01065251,0.001547347,0.001421948,0.004743599,0.0005081335,0.005666095,0.00379294,0.003524984,0.3107967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614151,"about_ca_system_score_gemma":0.002480307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009712338,"about_ca_topic_score_gemma":0.008751579,"domain_scores_codex":[0.9981329,0.0001968791,0.0001768208,0.0002759673,0.001028591,0.0001888757],"domain_scores_gemma":[0.995383,0.0009456862,0.0002511372,0.0009120475,0.002252735,0.000255434],"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":[0.00007493634,0.00001355964,0.000288905,0.0003237869,0.00001603101,0.00005420676,0.00009723737,0.0003322443,0.0005187489,0.002036156,0.9784922,0.01775189],"study_design_scores_gemma":[0.00005268651,0.00001061998,0.0005823643,0.0001595929,0.00001315055,0.00009642337,0.00005824206,0.001158023,0.001486272,0.003566077,0.9927759,0.00004058219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0009585222,0.0006805248,0.0379696,0.0008230414,0.0005674763,0.0003165852,0.5957896,0.2841422,0.07875246],"genre_scores_gemma":[0.006231356,0.0006746897,0.02953382,0.0007161915,0.0002157338,0.0007304365,0.7204337,0.1912451,0.05021888],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3389809,"threshold_uncertainty_score":0.9428635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08841549058558075,"score_gpt":0.2821276934345758,"score_spread":0.193712202848995,"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."}}