{"id":"W2317160600","doi":"10.5558/tfc2012-010","title":"A tool for converting forest ecosystem classifications for permanent or temporary growth plots into the new provincial Ecological Land Classification (ELC) system in the boreal regions of Ontario","year":2012,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest ecology and management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Nipissing University","funders":"Ontario Ministry of Research and Innovation; Northern Ontario Heritage Fund Corporation; Nipissing University","keywords":"Environmental science; Taiga; Ecosystem; Forest ecology; Boreal; Environmental resource management; Scale (ratio); Sample (material); Vegetation (pathology); Soil texture; Ecology; Forestry; Geography; Soil science; Cartography; Soil water","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001626791,0.0006942343,0.0003316392,0.004611759,0.001115897,0.00192711,0.0007251684,0.000222385,0.009561269],"category_scores_gemma":[0.006351548,0.0005208657,0.0007020386,0.00626973,0.0004810379,0.0007408441,0.001182479,0.0006778128,0.002539559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005340951,"about_ca_system_score_gemma":0.008687637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5863861,"about_ca_topic_score_gemma":0.7707136,"domain_scores_codex":[0.9987399,0.00009769521,0.0002116446,0.00022712,0.0005556971,0.0001679295],"domain_scores_gemma":[0.9973116,0.0003541755,0.0003425086,0.0002995616,0.00154309,0.0001491313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003640249,0.0001671501,0.1553645,0.000846246,0.0001809407,0.0006825067,0.008036474,0.007756146,0.02334307,0.01685818,0.1572892,0.6291116],"study_design_scores_gemma":[0.000105277,0.00008151177,0.3165005,0.0003228776,0.0001088779,0.0003947933,0.003342253,0.0330569,0.01534982,0.005074874,0.6254627,0.0001996249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.228886,0.0004010451,0.4475157,0.000713239,0.0004207275,0.004481721,0.2042256,0.02635532,0.08700053],"genre_scores_gemma":[0.2791391,0.0003686576,0.5895016,0.0000981867,0.00003493847,0.002390082,0.09974685,0.002906667,0.02581383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4136139,"threshold_uncertainty_score":0.8320996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929602430344751,"score_gpt":0.2448298948105472,"score_spread":0.2155338705070997,"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."}}