{"id":"W2117365907","doi":"10.1051/forest:2002043","title":"Optimization of multiple trait selection in western hemlock(<i>Tsuga heterophylla</i> (Raf.) Sarg.) including pulpand paper properties","year":2002,"lang":"en","type":"article","venue":"Annals of Forest Science","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Western Hemlock; Pulp (tooth); Tsuga; Selection (genetic algorithm); Tree breeding; Trait; Agricultural engineering; Computer science; Biology; Engineering; Botany; Woody plant; Machine learning; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004217479,0.0005329397,0.0003034822,0.0003957676,0.0002634927,0.0004481396,0.000281728,0.0001936255,0.0004753386],"category_scores_gemma":[0.0004101901,0.0001326422,0.0001639827,0.0002604776,0.0002169663,0.0001540358,0.0002507209,0.0002387579,0.00007122938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008402778,"about_ca_system_score_gemma":0.0005367348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241877,"about_ca_topic_score_gemma":0.04554689,"domain_scores_codex":[0.9998389,0.00006438113,0.000007323069,0.0000257408,0.00003565603,0.00002800743],"domain_scores_gemma":[0.9998013,0.0000818213,0.00004117829,0.000006261344,0.00002923745,0.00004026596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001267685,0.0008031842,0.1018327,0.0001946039,0.000358576,0.0007532398,0.0004164389,0.3310909,0.3834362,0.001910812,0.0006000348,0.1773355],"study_design_scores_gemma":[0.0002488754,0.003078371,0.2745382,0.00003160673,0.0005002652,0.0004157934,0.0009325928,0.6704271,0.04450335,0.00224395,0.003007547,0.00007227658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997071,0.00005441082,0.002396581,0.00001877239,9.516248e-7,0.000007967568,0.00001617609,0.00001354647,0.000420538],"genre_scores_gemma":[0.9943352,0.0000589924,0.00472281,0.0000151718,0.000001167405,0.00001600543,0.00006925998,0.00001118439,0.0007701034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01241877,"threshold_uncertainty_score":0.02469301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07508631941482768,"score_gpt":0.2491546573745121,"score_spread":0.1740683379596845,"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."}}