{"id":"W3131398641","doi":"10.5558/tfc2021-007","title":"Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density","year":2021,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Natural Resources Canada; U.S. Forest Service","keywords":"Mathematics; Pinus contorta; Population; Young's modulus; Forestry; Statistics; Environmental science; Geography; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0004638316,0.0003492679,0.0001404508,0.000614128,0.0002248934,0.0004360111,0.0002363782,0.0001754762,0.0004182214],"category_scores_gemma":[0.0009647806,0.0001692495,0.0001216208,0.0003125857,0.0001518337,0.0001909814,0.0001818115,0.0001438486,0.0001587898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005950326,"about_ca_system_score_gemma":0.000439043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1005321,"about_ca_topic_score_gemma":0.3421923,"domain_scores_codex":[0.999853,0.0000238687,0.000004811841,0.00003898924,0.00005424847,0.00002512559],"domain_scores_gemma":[0.9994953,0.0002494717,0.00007549342,0.00002325551,0.00009877573,0.00005765192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004525418,0.00003146466,0.966096,0.00001272639,0.00001841357,0.00004986903,0.0001683115,0.005991279,0.01075364,0.00002929883,0.00006726284,0.01673649],"study_design_scores_gemma":[0.000002050426,0.00002959776,0.9874873,0.000003282601,0.000006866288,0.00002492909,0.0001360202,0.01087026,0.001273123,0.00003261668,0.0001282498,0.000005816445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978928,0.0000351675,0.001642193,0.000004118409,9.351456e-7,0.000005797805,0.00009511484,0.00002423688,0.0002996453],"genre_scores_gemma":[0.9977776,0.00002930259,0.001639003,0.000003091526,8.453027e-7,0.000004419509,0.0002562269,0.00000299671,0.0002863869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1005321,"threshold_uncertainty_score":0.1998939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401716798101887,"score_gpt":0.2211543843147002,"score_spread":0.1971372163336813,"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."}}