{"id":"W2109275442","doi":"10.1179/2042645311y.0000000012","title":"Scheffer index as preferred method to define decay risk zones for above ground wood in building codes","year":2011,"lang":"en","type":"article","venue":"International Wood Products Journal","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"FPInnovations","keywords":"Index (typography); Environmental science; Moisture; Ground level; Precipitation; Preservative; Meteorology; Engineering; Civil engineering; Geography; Ground floor; Computer science; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0006787312,0.000251493,0.000253635,0.000425093,0.0001028808,0.0001524588,0.0003612655,0.00008370906,0.000146288],"category_scores_gemma":[0.0002547637,0.0002103804,0.00008396912,0.0002166851,0.00001832186,0.0004811474,0.00005656011,0.0003462262,0.00004706725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001729484,"about_ca_system_score_gemma":0.00004915851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099666,"about_ca_topic_score_gemma":0.00005074063,"domain_scores_codex":[0.9985752,0.00007366358,0.0004339428,0.0002779114,0.0003023434,0.0003370009],"domain_scores_gemma":[0.9992548,0.00008966976,0.0001029355,0.0001601923,0.0002767245,0.0001157211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008457715,0.00288256,0.1322702,0.000645786,0.01152083,0.0004554578,0.04007179,0.06742367,0.1452382,0.03259023,0.0123134,0.5461301],"study_design_scores_gemma":[0.008168581,0.001499438,0.1721933,0.000806474,0.0003691449,0.001315934,0.0007256046,0.007065183,0.7105134,0.04819148,0.04723343,0.001918011],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590391,0.001338408,0.03295182,0.0006489072,0.001707844,0.0004740813,0.0000380648,0.0001052067,0.003696564],"genre_scores_gemma":[0.9006265,0.0001163358,0.09789438,0.00004986281,0.0006269735,0.00007490315,0.000008781223,0.00005179258,0.0005504025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5652752,"threshold_uncertainty_score":0.8579062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03977857150661917,"score_gpt":0.2857593157188514,"score_spread":0.2459807442122323,"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."}}