{"id":"W2411619320","doi":"","title":"Heating performance of frozen lodgepole pine lumber.","year":2010,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Forest Service; Natural Resources Canada; U.S. Forest Service; FPInnovations","keywords":"Pinus contorta; Kiln; Softwood; Environmental science; Pulp and paper industry; Moisture; Pinus <genus>; Hardwood; Waste management; Materials science; Composite material; Engineering; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002209672,0.0003630063,0.000280467,0.0002005556,0.0003030696,0.0003376901,0.0002111954,0.0001638272,0.001015748],"category_scores_gemma":[0.0002556788,0.0001368096,0.0002513396,0.0001356534,0.0001387272,0.0003089484,0.00009282504,0.0001904086,0.0001901377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299902,"about_ca_system_score_gemma":0.0001760048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006360496,"about_ca_topic_score_gemma":0.01443211,"domain_scores_codex":[0.9998869,0.000009870521,0.000004305328,0.00003717941,0.00004026199,0.00002153461],"domain_scores_gemma":[0.9999088,0.00002632985,0.00001631011,0.00001033362,0.00002820501,0.000009912264],"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":[0.0004137107,0.00006425898,0.004888214,0.0001116363,0.00001817758,0.00008468985,0.0001414087,0.003730152,0.9830711,0.0000488073,0.00005783333,0.007369999],"study_design_scores_gemma":[0.00001208186,0.00135149,0.05058708,0.00001938146,0.00005544054,0.000113456,0.0001733698,0.01030052,0.9361221,0.00005630522,0.001189337,0.00001942756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997973,0.000347221,0.00117302,0.000004486466,0.000005991578,0.00001065069,0.00009952013,0.00002205736,0.000364015],"genre_scores_gemma":[0.9981121,0.0001370676,0.0008121742,0.000007464637,0.000001381749,0.000006025398,0.0002021177,0.00001215058,0.0007095095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006360496,"threshold_uncertainty_score":0.01264697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00574360367853814,"score_gpt":0.1941662902923995,"score_spread":0.1884226866138614,"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."}}