{"id":"W2973922854","doi":"10.3390/f10100829","title":"Scaling Approach for Estimating Stand Sapwood Area from Leaf Area Index in Five Boreal species","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Forest ecology and management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pinus contorta; Boreal; Taiga; Diameter at breast height; Vegetation (pathology); Environmental science; Scaling; Allometry; Pinus <genus>; Forestry; Scale (ratio); Site index; Mathematics; Ecology; Geography; Botany; Biology; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002084323,0.0001440177,0.0001881396,0.00004635772,0.00008494074,0.0000304396,0.0002290468,0.00009438225,0.0005780922],"category_scores_gemma":[0.00006229837,0.0001315789,0.0000487516,0.0001180124,0.0001034347,0.0001878557,0.0002130195,0.0001194781,0.0001025842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613316,"about_ca_system_score_gemma":0.00000964774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000761243,"about_ca_topic_score_gemma":0.005644202,"domain_scores_codex":[0.9988802,0.00001964265,0.0002037781,0.0003756923,0.0001716777,0.000349014],"domain_scores_gemma":[0.9995007,0.0001229604,0.00008362823,0.0002328953,0.000004566311,0.00005523254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006729848,0.0000876747,0.8774279,0.00002334023,0.00001488917,0.000004996018,0.0006488314,0.1167245,0.00001829832,0.0009656505,0.003210268,0.0008063324],"study_design_scores_gemma":[0.0006608811,0.00005657778,0.717698,0.00002122863,0.000007758431,6.286303e-7,0.0002771823,0.2732052,0.00004065664,0.007357007,0.0005397532,0.0001351943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285936,0.00001885394,0.0481439,0.0000525082,0.000185044,0.0006988962,0.0000338649,0.00003386242,0.02223951],"genre_scores_gemma":[0.9785536,0.000002116745,0.0196753,0.00007463738,0.00004125755,0.00007787909,0.00009949772,0.00001459003,0.00146116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.15973,"threshold_uncertainty_score":0.6329705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375201931888665,"score_gpt":0.22001317692155,"score_spread":0.2062611576026634,"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."}}