{"id":"W4254883262","doi":"10.1139/cjfr-31-5-910","title":"Feasibility of estimating stem size distribution from measurement on the largest trees in even-aged pure stands","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Statistics; Forestry; Mathematics; Environmental science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00659589,0.0006951519,0.0006830735,0.001353745,0.0007839813,0.00127797,0.001691133,0.001308099,0.001741176],"category_scores_gemma":[0.01628738,0.0008811619,0.0003284696,0.00102589,0.0006809381,0.001903339,0.0007200303,0.0005297529,0.001106691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003609818,"about_ca_system_score_gemma":0.0008336175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262099,"about_ca_topic_score_gemma":0.03820925,"domain_scores_codex":[0.9968693,0.001210215,0.0001888066,0.0007319264,0.00078347,0.0002163013],"domain_scores_gemma":[0.9758114,0.01598132,0.001195672,0.001543497,0.004843269,0.0006248579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001948228,0.0002251588,0.8792427,0.0001561728,0.0001303791,0.0001158,0.0004114141,0.001971089,0.04003919,0.0004061046,0.0004677892,0.07488609],"study_design_scores_gemma":[0.0001260468,0.0009379749,0.9426849,0.00005636596,0.0002877762,0.0008952118,0.0005804293,0.0290705,0.02141541,0.001386879,0.00248563,0.00007291314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410735,0.0009360654,0.05320117,0.00008893264,0.00005307758,0.000130548,0.0007858172,0.0002217949,0.003509167],"genre_scores_gemma":[0.9571719,0.0002470334,0.04081315,0.00008790842,0.00005813285,0.000169218,0.0005746049,0.00005914231,0.0008189805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262099,"threshold_uncertainty_score":0.03488284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0829844676482296,"score_gpt":0.304025002744776,"score_spread":0.2210405350965464,"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."}}