{"id":"W2384097116","doi":"","title":"Building & construction health monitoring research situation analysis based on knowledge topography","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology of scientific knowledge; Context (archaeology); Visualization; Engineering; China; Data science; Scope (computer science); Geography; Computer science; Sociology; Social science; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001134969,0.00009412536,0.000155196,0.0001278188,0.0003231153,0.00007543119,0.000066326,0.0000650466,0.0005934898],"category_scores_gemma":[0.00000689586,0.00009010935,0.00002767662,0.0003736313,0.00004523399,0.00008365888,0.00007232049,0.00006971313,0.0001613708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256278,"about_ca_system_score_gemma":0.000004919997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005331649,"about_ca_topic_score_gemma":0.00001284538,"domain_scores_codex":[0.9989276,0.0001351901,0.0001977908,0.0002739735,0.0002333904,0.0002320603],"domain_scores_gemma":[0.9995996,0.00006718693,0.00007632246,0.0001611721,0.000004528779,0.00009120783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003027957,0.000113368,0.0005907104,0.00003652712,0.00003904713,1.686793e-7,0.000395761,0.000454311,0.7874524,0.1681496,0.0001544713,0.04258335],"study_design_scores_gemma":[0.00115846,0.0004916446,0.06375204,0.00007996975,0.0001491638,0.000001558007,0.001485558,0.005239924,0.706146,0.2184404,0.002319734,0.0007355342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487987,0.00001789075,0.04920603,0.0002854665,0.000186299,0.0004938242,0.00001115671,0.00003325423,0.0009673521],"genre_scores_gemma":[0.9840945,0.00005735215,0.01558078,0.0001045735,0.0000484029,0.00008193744,0.00001371101,0.000007757681,0.00001099031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08130634,"threshold_uncertainty_score":0.6498297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343903789215797,"score_gpt":0.3171853269190142,"score_spread":0.2837462890268562,"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."}}