{"id":"W4396716468","doi":"10.1093/femsec/fiae166","title":"An interdisciplinary perspective of the built-environment microbiome","year":2024,"lang":"en","type":"preprint","venue":"FEMS Microbiology Ecology","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Science Foundation","keywords":"Microbiome; Perspective (graphical); Engineering ethics; Data science; Computational biology; Engineering; Biology; Computer science; Bioinformatics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001325467,0.0003898771,0.0005343191,0.00172916,0.00132618,0.003887921,0.0003831161,0.001722664,0.002956182],"category_scores_gemma":[0.0009608507,0.0001500981,0.0002973248,0.001634826,0.003727305,0.003627196,0.003207272,0.001857996,0.00045066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008823402,"about_ca_system_score_gemma":0.001157482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119139,"about_ca_topic_score_gemma":0.001955195,"domain_scores_codex":[0.9994397,0.0002658511,0.00002011684,0.0001095944,0.00008654007,0.00007824859],"domain_scores_gemma":[0.9993241,0.000357785,0.00005093087,0.00005742357,0.00006116625,0.0001486173],"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":[0.00009783131,0.00007863523,0.00878396,0.00212721,0.00008418864,0.0008087449,0.01133778,0.002035282,0.02387629,0.7527733,0.01030391,0.1876929],"study_design_scores_gemma":[0.000006495152,0.0001319875,0.0153407,0.001044507,0.0000395246,0.001480821,0.009880723,0.001373833,0.0031026,0.4454981,0.5220519,0.00004888747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09509763,0.5555056,0.1408455,0.09062494,0.004623887,0.0001091256,0.001025383,0.0001907065,0.1119772],"genre_scores_gemma":[0.6303238,0.2265705,0.1049737,0.01184038,0.004495678,0.0001359059,0.0004099371,0.00006321031,0.02118686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003887921,"threshold_uncertainty_score":0.009889424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04552663378925302,"score_gpt":0.271877516014268,"score_spread":0.2263508822250149,"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."}}