{"id":"W2122774458","doi":"10.5849/forsci.13-097","title":"Converting Even-Aged Plantations to Uneven-Aged Stand Conditions: A Simulation Analysis of Silvicultural Regimes with Slash Pine (<i>Pinus elliottii</i> Engelm.)","year":2014,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Slash Pine; Pinus <genus>; Slash (logging); Forestry; Agroforestry; Pinus tabulaeformis; Geography; Environmental science; Botany; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009241456,0.0007138355,0.0007416296,0.0005613129,0.0008922768,0.001462189,0.001521502,0.001741472,0.004945287],"category_scores_gemma":[0.002269203,0.0005164947,0.001420608,0.0007258845,0.0009334499,0.00128957,0.0006546782,0.001412392,0.0002722405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00316399,"about_ca_system_score_gemma":0.001573246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1418934,"about_ca_topic_score_gemma":0.137851,"domain_scores_codex":[0.9996589,0.0001149187,0.00001036933,0.00004285057,0.00002066141,0.0001523548],"domain_scores_gemma":[0.9981172,0.001099056,0.0001643393,0.00009325049,0.000144945,0.0003812803],"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":[0.0003035066,0.0003912311,0.009833851,0.00002333163,0.00007932226,0.0001504621,0.00004723756,0.9856033,0.000460237,0.0012058,0.0007949695,0.00110675],"study_design_scores_gemma":[0.0001465707,0.0002149772,0.007701812,0.000008286587,0.00005462934,0.00002386062,0.0002889683,0.9899988,0.0001975639,0.001065047,0.0002759914,0.00002362183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950361,0.00006914183,0.0008792612,0.0001886184,0.00001747921,0.00002587027,0.0005678036,0.00003009028,0.003185692],"genre_scores_gemma":[0.9982658,0.00004121043,0.0004842682,0.00003774923,0.000003578982,0.00001850306,0.0002350149,0.00001320772,0.0009007718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418934,"threshold_uncertainty_score":0.2821349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008837674355811464,"score_gpt":0.2583988378495517,"score_spread":0.2495611634937402,"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."}}