{"id":"W2101002148","doi":"10.5558/tfc80134-1","title":"The influence of site tree selection method on site index determination and yield prediction in black spruce stands in northeastern Québec","year":2004,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest ecology and management","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Site index; Hectare; Black spruce; Statistics; Yield (engineering); Table (database); Univariate; Forestry; Tree (set theory); Mathematics; Index (typography); Selection (genetic algorithm); Geography; Multivariate statistics; Environmental science; Ecology; Taiga; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002329825,0.0002796201,0.0002600128,0.0005802859,0.000778393,0.0007511256,0.000592597,0.0002240762,0.000905629],"category_scores_gemma":[0.004936018,0.0001001583,0.0001907942,0.0006799722,0.0004279597,0.0002253908,0.0002487316,0.0002673176,0.0001671178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006347355,"about_ca_system_score_gemma":0.003701011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.952525,"about_ca_topic_score_gemma":0.9812256,"domain_scores_codex":[0.999119,0.0002852766,0.00003123533,0.0001659109,0.0002735374,0.0001250188],"domain_scores_gemma":[0.9949619,0.002099292,0.0004973893,0.0001565021,0.001843317,0.0004415973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001415803,0.00004095441,0.9750881,0.00001460331,0.0000514326,0.00006498807,0.0002664124,0.002240631,0.001395894,0.00006057127,0.000837306,0.01979757],"study_design_scores_gemma":[0.000004657128,0.00004904268,0.992543,0.00000808686,0.00001502763,0.00001996477,0.0002121267,0.00634696,0.0003358802,0.00001764723,0.0004400144,0.000007556439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979376,0.0001782439,0.0007130692,0.00006242259,0.000006176013,0.00001062377,0.0003581971,0.00002459812,0.0007090926],"genre_scores_gemma":[0.9979424,0.00005503266,0.0006443998,0.00002449633,0.000002391848,0.000007139358,0.0004604185,0.00001034129,0.0008534415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04747504,"threshold_uncertainty_score":0.09550923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006076401975794891,"score_gpt":0.2267711467093168,"score_spread":0.2206947447335219,"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."}}