{"id":"W4231705778","doi":"10.1139/cjfr-30-12-1922","title":"Leaf area index of an old-growth Douglas-fir forest estimated from direct structural measurements in the canopy","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Douglas fir; Canopy; Leaf area index; Forestry; Environmental science; Tree canopy; Index (typography); Mathematics; Botany; Biology; 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":[0.0001364194,0.0002200939,0.0001921394,0.0004811569,0.0002877599,0.0001781858,0.0002141453,0.0001847426,0.0003700351],"category_scores_gemma":[0.0003212469,0.0001249975,0.000124447,0.0003311649,0.0002068498,0.000177622,0.0001495107,0.000195215,0.0001172689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003992019,"about_ca_system_score_gemma":0.0001936643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02365088,"about_ca_topic_score_gemma":0.04013178,"domain_scores_codex":[0.9999392,0.000005510311,0.000003724387,0.00002354473,0.00001555538,0.00001259202],"domain_scores_gemma":[0.9998035,0.00007293131,0.00002600726,0.00001204066,0.00004454317,0.00004098772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002066824,0.000250417,0.8512216,0.00005764642,0.0001078724,0.0003586858,0.0003511056,0.004244929,0.1236233,0.0002095302,0.0002723259,0.01723573],"study_design_scores_gemma":[0.000007242662,0.00006802493,0.9941958,0.000001235577,0.00002060317,0.0001578827,0.00004753133,0.003080409,0.002307956,0.0000185708,0.00008876414,0.000005876894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994715,0.00002803021,0.0001312478,0.0000020499,9.939837e-7,0.000001299756,0.0001573031,0.000003222572,0.0002045028],"genre_scores_gemma":[0.999504,0.00001456245,0.0001870688,0.000002495781,0.000001173004,0.000001174849,0.0001823019,0.000001037109,0.0001061146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02365088,"threshold_uncertainty_score":0.04702646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425046993436337,"score_gpt":0.296924177071248,"score_spread":0.2426737071368846,"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."}}