{"id":"W4413360120","doi":"10.21809/rilemtechlett.2025.219","title":"Opening Letter of RILEM TC SDM: The current situation of data and metadata management in construction materials research - Emerging demands and viable solutions","year":2025,"lang":"en","type":"article","venue":"RILEM Technical Letters","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"EnGlobe (Canada); Université de Sherbrooke","funders":"","keywords":"Metadata; Research data; Current (fluid); Research integrity; Computer science; Metadata management; Data science; Data management; Engineering; World Wide Web; Data mining; Engineering ethics; Data curation; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.002792576,0.00006974755,0.0001591574,0.000323923,0.0001647593,0.000238799,0.001056814,0.00002587155,0.0000036683],"category_scores_gemma":[0.00003846311,0.00005152225,0.0000122094,0.0007973651,0.0002507948,0.003853971,0.001887094,0.0001289151,0.000001028376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001885025,"about_ca_system_score_gemma":0.00002571809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004164816,"about_ca_topic_score_gemma":0.000003648756,"domain_scores_codex":[0.9985258,0.0001663944,0.0005037728,0.0002717611,0.0003359469,0.0001963537],"domain_scores_gemma":[0.99898,0.0001407887,0.0001331185,0.0006893397,0.00003447135,0.00002228136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004553952,0.0001072112,0.006579506,0.0009330011,0.000115597,0.000005901711,0.001900652,0.0003239727,0.1735629,0.4537378,0.09732792,0.2653599],"study_design_scores_gemma":[0.006043999,0.0003699142,0.1417577,0.0049434,0.0001735275,0.0001353488,0.003967427,0.2878291,0.09762762,0.03161526,0.4236375,0.001899241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.229222,0.0003670708,0.7384046,0.02948069,0.0005143013,0.001054739,0.00004809445,0.00005740245,0.000851149],"genre_scores_gemma":[0.984533,0.00009494193,0.01485792,0.000428246,0.00002315894,0.00002620596,0.00002191173,0.000002137028,0.00001249509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.755311,"threshold_uncertainty_score":0.2794036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08579692763644536,"score_gpt":0.355437538359154,"score_spread":0.2696406107227086,"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."}}