{"id":"W4399303688","doi":"10.3390/f15060977","title":"Modelling Diameter at Breast Height Distribution for Eight Commercial Species in Natural-Origin Mixed Forests of Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Forests","topic":"Forest ecology and management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry; Université Laval","funders":"Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Diameter at breast height; Distribution (mathematics); Natural (archaeology); Geography; Forestry; Natural forest; Environmental science; Ecology; Biology; Mathematics; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507633,0.0001496624,0.0001777662,0.00003635226,0.00009507889,0.00001667601,0.0001787797,0.00006781769,0.0007692015],"category_scores_gemma":[0.000008534136,0.0001297572,0.00007253649,0.0001529315,0.0001168163,0.0001647815,0.0001626555,0.0001285915,0.00002807669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002215563,"about_ca_system_score_gemma":0.0001041293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6583991,"about_ca_topic_score_gemma":0.9994779,"domain_scores_codex":[0.9988819,0.00002007994,0.0002546595,0.000291501,0.0002032161,0.0003486443],"domain_scores_gemma":[0.9996338,0.00008767963,0.00004818823,0.0001649324,0.000007380792,0.00005805874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002068763,0.00009543336,0.7730094,0.0001080528,0.00005305385,0.00006357847,0.0004538392,0.06449299,0.00003458367,0.01579734,0.1445512,0.001133698],"study_design_scores_gemma":[0.0002980401,0.00004197534,0.8508083,0.00004045906,0.00002109915,0.000006672916,0.000006638486,0.0427725,0.0002353535,0.004130981,0.1014739,0.0001641609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906003,0.00007717175,0.006568066,0.0003841465,0.0009726299,0.0004355908,0.0002554331,0.00001541847,0.0006912784],"genre_scores_gemma":[0.9941671,0.000004086963,0.0002937658,0.00004244129,0.0000431529,0.00006325971,0.0004284857,0.00001243442,0.004945273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3410788,"threshold_uncertainty_score":0.8422218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009854106066938498,"score_gpt":0.2029119675583645,"score_spread":0.193057861491426,"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."}}