{"id":"W2139814278","doi":"10.1520/jai102091","title":"Experimental Assessment of Hygrothermal Properties of Wood-Frame Wall Assemblies—Moisture Content Calibration Curve for OSB Using Moisture Pins","year":2009,"lang":"en","type":"article","venue":"Journal of ASTM International","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Oriented strand board; Water content; Moisture; Materials science; Composite material; Geotechnical engineering; 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":[0.0001685483,0.0001580708,0.0003197185,0.0001518634,0.00002809817,0.0000443762,0.0001977031,0.00007363297,0.00004161687],"category_scores_gemma":[0.00002153986,0.0001152175,0.0002047286,0.00004934625,0.00003015028,0.0004352228,0.000014551,0.0001395094,2.479431e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737728,"about_ca_system_score_gemma":0.00006366679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001933333,"about_ca_topic_score_gemma":0.00000601549,"domain_scores_codex":[0.9986873,0.00002898759,0.00066259,0.00008199665,0.0004211575,0.0001179224],"domain_scores_gemma":[0.9991438,0.00002218418,0.0003711618,0.00008308666,0.000337453,0.00004235841],"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":[0.0002757359,0.0003706519,0.004958975,0.00005923524,0.0005843081,0.000004068553,0.001223849,0.02634251,0.9645258,0.0008430493,0.0002799331,0.0005318442],"study_design_scores_gemma":[0.002409083,0.00122958,0.02547802,0.0004953523,0.00008926734,0.00005066859,0.001209876,0.07943211,0.8887013,0.0001172658,0.0005519286,0.0002355193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924015,0.0009317508,0.005016781,0.000302636,0.0005467677,0.0001994645,0.00002439382,0.00001306891,0.000563664],"genre_scores_gemma":[0.9941446,0.00001951884,0.005453552,0.00004181251,0.0002259243,0.000005095816,0.00001045863,0.00001792399,0.00008117897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07582451,"threshold_uncertainty_score":0.4698432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05192156999449164,"score_gpt":0.2864095596823279,"score_spread":0.2344879896878363,"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."}}