{"id":"W2030318267","doi":"10.1139/x02-106","title":"A calibrateable site index model for <i>Pinus kesiya</i> plantations in southeastern Africa","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Site index; Pinus <genus>; Forestry; Index (typography); Statistics; Mathematics; Geography; Asymptote; Calibration; Computer science; Geometry; Biology; Botany","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":[0.000415148,0.0003954099,0.000317401,0.0003161993,0.0002446453,0.0005066855,0.0007882408,0.0005091524,0.0007924318],"category_scores_gemma":[0.0008096194,0.0003061821,0.0003916658,0.0002618526,0.0002790347,0.0004333317,0.000323063,0.0004757559,0.0001419343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009258501,"about_ca_system_score_gemma":0.0008989761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03779846,"about_ca_topic_score_gemma":0.02948197,"domain_scores_codex":[0.99986,0.00003326231,0.000006205711,0.00005718618,0.00001566559,0.00002770002],"domain_scores_gemma":[0.9997877,0.00008860322,0.00005031353,0.00001486936,0.0000450058,0.00001347502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001250955,0.00001268161,0.006270886,0.00001117138,0.000009326494,0.00004715486,0.0000303608,0.9879528,0.001174272,0.000780312,0.00006949736,0.003629068],"study_design_scores_gemma":[0.00000317783,0.000009079331,0.001988024,0.000002445329,0.000004620476,0.00001494187,0.0000106102,0.997328,0.0002051533,0.0003065167,0.0001226659,0.000004716557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8036339,0.0001657013,0.1925525,0.0001187969,0.00001139206,0.00006635947,0.0004438415,0.0002434202,0.002764073],"genre_scores_gemma":[0.9881142,0.00005705598,0.01060903,0.000013335,0.000002682268,0.00005168475,0.0002008298,0.00002033887,0.000930873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03779846,"threshold_uncertainty_score":0.07515693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06057795763051577,"score_gpt":0.2716646874959809,"score_spread":0.2110867298654652,"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."}}