{"id":"W2126609780","doi":"10.1139/x09-207","title":"Development of models to predict <i>Pinus radiata</i> productivity throughout New Zealand","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pinus radiata; Environmental science; Productivity; Index (typography); Thematic map; Vegetation (pathology); Site index; Radiata; Soil water; Hydrology (agriculture); Physical geography; Statistics; Mathematics; Soil science; Ecology; Geography; Forestry; Agronomy; Cartography; Computer science; Biology; Geology","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":[0.0008107523,0.0007381401,0.000430316,0.0006428451,0.0003693528,0.0009876663,0.001275082,0.0003990451,0.001719601],"category_scores_gemma":[0.002045305,0.000474518,0.000764896,0.0007671984,0.000299065,0.0008307794,0.0004763453,0.0006041393,0.0004552367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898779,"about_ca_system_score_gemma":0.001587968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3466134,"about_ca_topic_score_gemma":0.3022813,"domain_scores_codex":[0.9998617,0.00002823538,0.000009044647,0.00004872462,0.0000245445,0.00002763795],"domain_scores_gemma":[0.9995434,0.0002052824,0.00008865145,0.00001776048,0.0001175547,0.00002728635],"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":[0.00004652818,0.00004464342,0.04915114,0.00005470149,0.0001438158,0.00006247262,0.00007680753,0.923187,0.0008287943,0.000890346,0.001380748,0.02413298],"study_design_scores_gemma":[0.00001016396,0.00002024237,0.01093692,0.00001136637,0.00003005426,0.00001498703,0.00005271644,0.9874828,0.0001622863,0.0006193562,0.0006469353,0.00001221666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7706625,0.0005091628,0.2133341,0.0008923702,0.00006122555,0.0001782371,0.005000032,0.001691183,0.007671276],"genre_scores_gemma":[0.9583834,0.0002822572,0.03588866,0.00003999222,0.00001138153,0.0001633534,0.002269309,0.00009125789,0.002870421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3466134,"threshold_uncertainty_score":0.6891918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842650883015691,"score_gpt":0.2881058388057627,"score_spread":0.2496793299756058,"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."}}