{"id":"W2992141622","doi":"","title":"Extracting greater value from subalpine fir: Profiled decking","year":2009,"lang":"en","type":"article","venue":"Forest Products Journal","topic":"Forest ecology and management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chromated copper arsenate; Preservative; Montane ecology; Douglas fir; Horticulture; Abies lasiocarpa; Botany; Pulp and paper industry; Forestry; Biology; Ecology; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005588664,0.0001704861,0.0001631282,0.00005104638,0.0004015203,0.00009809846,0.0003199918,0.00006864171,0.002616788],"category_scores_gemma":[0.0001985819,0.0001381557,0.0000556278,0.0001762399,0.00008221452,0.0005528288,0.0001151351,0.0003709224,0.0006942432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488404,"about_ca_system_score_gemma":0.0000165248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005429075,"about_ca_topic_score_gemma":0.00004898563,"domain_scores_codex":[0.9985204,0.00006926349,0.0003057146,0.0003587841,0.0002947893,0.0004510703],"domain_scores_gemma":[0.9993696,0.00002214066,0.0001971209,0.0002717062,0.00001720505,0.0001222182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002770901,0.0005454931,0.8509116,0.00001560673,0.0001251656,0.0009580358,0.001323022,0.01487851,0.01591171,0.004091611,0.07943384,0.03152834],"study_design_scores_gemma":[0.000501781,0.0002042138,0.9551322,0.00002848185,0.00003987243,0.0001785385,0.00003139232,0.0005072748,0.002668548,0.02280073,0.01768723,0.0002197591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880492,0.0000857789,0.0008426522,0.003936851,0.0006838108,0.0002525739,0.00000148942,0.00005424458,0.006093385],"genre_scores_gemma":[0.9897888,0.00001980077,0.007395978,0.0006211264,0.0006063898,0.000004791965,0.000007716648,0.00001350568,0.001541857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042206,"threshold_uncertainty_score":0.9982949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159215248281874,"score_gpt":0.2237883584773925,"score_spread":0.2121962059945738,"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."}}