{"id":"W1999794310","doi":"10.1139/x03-258","title":"Optimal stand density: a solution","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Maximum density; Mathematics; Canopy; Thinning; Statistics; Forestry; Botany; Thermodynamics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001368129,0.00005891608,0.00009054531,0.0002287947,0.000356157,0.00004717712,0.0003037099,0.00006094654,0.001012445],"category_scores_gemma":[0.0001634922,0.00005286193,0.00004473308,0.0002895887,0.000531056,0.000207086,0.00005891172,0.0003713961,0.0004256856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037362,"about_ca_system_score_gemma":0.0006133143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01741798,"about_ca_topic_score_gemma":0.4771134,"domain_scores_codex":[0.9987964,0.00006194068,0.0001642394,0.0001074599,0.0003529686,0.0005170054],"domain_scores_gemma":[0.9991662,0.00002638888,0.0000475888,0.0001290886,0.00005657864,0.0005741414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001428698,0.0001140105,0.7403511,0.00002412933,0.00008023126,0.004452338,0.00169662,0.1049039,0.0003696037,0.05351895,0.09108192,0.003264389],"study_design_scores_gemma":[0.0008556658,0.0006866317,0.8998795,0.00004023464,0.00001060408,0.000253738,0.0002386639,0.00006381767,0.0002899215,0.03580326,0.06175647,0.0001215126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865617,0.0001042139,0.002133882,0.00227239,0.0001508945,0.0001137103,0.000001417377,0.000002411607,0.008659355],"genre_scores_gemma":[0.9980263,0.00001755743,0.001066086,0.00006749926,0.00005915548,0.000002055496,6.523863e-7,0.000006421594,0.00075433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4596954,"threshold_uncertainty_score":0.9999008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020005776982701,"score_gpt":0.2832526464457616,"score_spread":0.2530525886759346,"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."}}