{"id":"W1971670466","doi":"10.1080/17480272.2010.493222","title":"Lumber Quality Model: The theory","year":2010,"lang":"en","type":"article","venue":"Wood Material Science and Engineering","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"FPInnovations","keywords":"Shrinkage; Kiln; Distortion (music); Calibration; Monte Carlo method; Experimental data; Computer science; Water content; Quality (philosophy); Simulation; Engineering; Mathematics; Statistics; Machine learning; Geotechnical engineering; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005537329,0.0006913731,0.0006745135,0.0005974079,0.0003834124,0.001248057,0.001785006,0.001113066,0.006264976],"category_scores_gemma":[0.0014962,0.0003244204,0.0006186332,0.0004642048,0.0007725313,0.001736576,0.000521968,0.0007825315,0.001311669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078645,"about_ca_system_score_gemma":0.0006518914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009856676,"about_ca_topic_score_gemma":0.005002591,"domain_scores_codex":[0.999615,0.00008415786,0.00001098054,0.0001013513,0.0001533202,0.00003515281],"domain_scores_gemma":[0.9996219,0.0001473401,0.00004977362,0.00003866652,0.0001244279,0.00001794138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004217166,0.00005002572,0.001270335,0.00008911102,0.00002730199,0.00009276284,0.00006910551,0.9193351,0.002614538,0.05477115,0.002061014,0.01957736],"study_design_scores_gemma":[0.000006163075,0.00001499499,0.0003111071,0.000008978474,0.000006415341,0.00001741354,0.000005385963,0.9902152,0.0003724702,0.007784252,0.00125042,0.000007140306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03890503,0.0007985244,0.925153,0.0004779803,0.0001123035,0.00007343358,0.0005899703,0.0007728036,0.03311712],"genre_scores_gemma":[0.9022822,0.0008663386,0.06803377,0.0003214415,0.0001160477,0.0002262568,0.0005750992,0.0003015373,0.02727724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009856676,"threshold_uncertainty_score":0.02095848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009677530914849788,"score_gpt":0.2068573497710488,"score_spread":0.197179818856199,"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."}}