{"id":"W2006617898","doi":"10.1139/x06-161","title":"Developing breeding objectives for radiata pine structural wood production. I. Bioeconomic model and economic weights","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pinus radiata; Trait; Profit (economics); Production (economics); Radiata; Agricultural science; Wood production; Agroforestry; Forestry; Agricultural economics; Forest management; Environmental science; Agronomy; Economics; Biology; Geography; Ecology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008502785,0.00009446223,0.0001418232,0.0002672274,0.0005111586,0.00007966423,0.0002653706,0.00005662157,0.0001324124],"category_scores_gemma":[0.00006674659,0.00008688036,0.00004053477,0.00008739795,0.0004461219,0.0004186579,0.00005641894,0.0001928503,0.00002229707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122902,"about_ca_system_score_gemma":0.0004883672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009817645,"about_ca_topic_score_gemma":0.4173279,"domain_scores_codex":[0.9989254,0.00003259625,0.0002567287,0.0002164693,0.00009087686,0.0004778953],"domain_scores_gemma":[0.9994692,0.00005299604,0.00009274322,0.0001107099,0.00003234781,0.0002419964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008583283,0.00001279994,0.6338616,0.00004712429,0.00008014337,0.00003222753,0.0004486433,0.1363858,0.0001946418,0.1945411,0.03192655,0.002383552],"study_design_scores_gemma":[0.0006098456,0.0002311595,0.7566491,0.00002506086,0.00001239451,0.0001072773,0.0001531907,0.0118239,0.0002249218,0.2229809,0.006990565,0.0001916813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954633,0.000175782,0.0004617267,0.002117679,0.0002705262,0.0002929168,0.00001059511,0.000003015004,0.001204474],"genre_scores_gemma":[0.9953427,0.00002436876,0.003513461,0.00002687397,0.000254348,0.00001151204,0.000003768476,0.00001196684,0.0008110535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4075103,"threshold_uncertainty_score":0.996776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293060380038059,"score_gpt":0.2756242906094217,"score_spread":0.2463182526056158,"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."}}