{"id":"W4409359520","doi":"10.1139/cjfr-2024-0307","title":"Designing circular fixed-area plots in large-scale forest inventories: effect of horizontal distance measurement uncertainty and tree position pattern","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Universidade de Santiago de Compostela","keywords":"Scale (ratio); Position (finance); Tree (set theory); Environmental science; Forestry; Mathematics; Geodesy; Geography; Physical geography; Statistics; Cartography; Economics","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":[0.006048325,0.0005518755,0.0005795172,0.0005327028,0.0003802331,0.0009275798,0.0009133074,0.000666974,0.00055962],"category_scores_gemma":[0.02316337,0.0004597334,0.0004164042,0.0009184071,0.0005683522,0.001005731,0.0006071968,0.0003125258,0.0001637889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005114241,"about_ca_system_score_gemma":0.0007432268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003541749,"about_ca_topic_score_gemma":0.007906405,"domain_scores_codex":[0.9959881,0.002342315,0.0002955341,0.0007696988,0.0004593799,0.0001450441],"domain_scores_gemma":[0.9683995,0.02382965,0.00333757,0.002523254,0.001656829,0.0002531518],"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":[0.001381663,0.0003742888,0.210687,0.0008229526,0.0003629689,0.0002961746,0.0006470088,0.5318794,0.03934925,0.003678049,0.0005224738,0.2099986],"study_design_scores_gemma":[0.0001984789,0.001301576,0.1296914,0.0001615753,0.0002164171,0.0004123767,0.0003249931,0.8276438,0.03405241,0.003096412,0.002769323,0.0001312171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4693992,0.000513592,0.5284199,0.0000399,0.00002633379,0.0003119081,0.0002616568,0.0003970017,0.0006305432],"genre_scores_gemma":[0.7927963,0.00008396434,0.2065643,0.00001461259,0.000004052635,0.0001629171,0.0001979909,0.00004649598,0.0001295084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006048325,"threshold_uncertainty_score":0.03198695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168768619755958,"score_gpt":0.272207370612938,"score_spread":0.2505196844153785,"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."}}