{"id":"W2130458348","doi":"10.1139/cjfr-2015-0054","title":"Modeling height-diameter curves for prediction","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plot (graphics); Range (aeronautics); Statistics; Mathematics; Tree (set theory); Model selection; Predictive modelling; Context (archaeology); Function (biology); Computer 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":[0.003987448,0.001310108,0.000919226,0.002279428,0.0005629843,0.001672888,0.002176533,0.001741765,0.004842422],"category_scores_gemma":[0.01314895,0.0006249028,0.001697002,0.004123485,0.0004827367,0.001991304,0.0009731353,0.001483727,0.003048536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081028,"about_ca_system_score_gemma":0.001449172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03907748,"about_ca_topic_score_gemma":0.03364658,"domain_scores_codex":[0.9988015,0.0003359289,0.00006596097,0.000478821,0.0002132555,0.0001045504],"domain_scores_gemma":[0.9946595,0.00345627,0.0004813563,0.000632814,0.0006543287,0.0001157087],"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":[0.00008629506,0.00009680612,0.02951129,0.0003430304,0.0001123461,0.00007779487,0.000236125,0.846322,0.002256504,0.01012238,0.006850691,0.1039847],"study_design_scores_gemma":[0.000007307553,0.00002229861,0.01016316,0.00004599159,0.00001828554,0.0000455887,0.00005094564,0.9738316,0.001133163,0.007172996,0.007468355,0.00004023335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08067367,0.0009242981,0.8959909,0.000368213,0.0000705153,0.0002163849,0.01168228,0.005042323,0.005031439],"genre_scores_gemma":[0.6027347,0.00110251,0.3701237,0.0001659424,0.00006004919,0.0006242928,0.01821467,0.001594674,0.005379357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9609225,"threshold_uncertainty_score":0.07770008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09399685073467141,"score_gpt":0.3165794134758862,"score_spread":0.2225825627412148,"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."}}