{"id":"W2323041000","doi":"10.5558/tfc2013-064","title":"Do partial cuts create forest complexity? A new approach to measuring the complexity of forest patterns using photographs and the mean information gain","year":2013,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Structural complexity; Sustainable forest management; Forest structure; Forest management; Secondary forest; Biodiversity; Old-growth forest; Geography; Agroforestry; Environmental resource management; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006537125,0.0002065816,0.0002020002,0.00004064412,0.0005055171,0.0002138393,0.0007444204,0.0000442582,0.000510684],"category_scores_gemma":[0.00002935038,0.0001067841,0.000103542,0.0003226259,0.00153307,0.0006425211,0.0006554435,0.0001747772,0.0001947601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008215823,"about_ca_system_score_gemma":0.00002092989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04704624,"about_ca_topic_score_gemma":0.003550279,"domain_scores_codex":[0.9984447,0.0001417554,0.0003536453,0.0001970034,0.000415227,0.0004477222],"domain_scores_gemma":[0.9989424,0.00007665483,0.0001943856,0.000648909,0.00001202421,0.000125641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005398526,0.0002368961,0.5674511,0.0002294565,0.0002547932,0.00000102903,0.03526887,0.2061624,0.0003196953,0.1662421,0.01620378,0.007090127],"study_design_scores_gemma":[0.002962765,0.0001155349,0.4574899,0.00007400313,0.0001300614,0.00002244182,0.001290111,0.4929592,0.0003227883,0.04020195,0.003997624,0.0004336057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805821,0.00002837434,0.002951479,0.001024345,0.00004809057,0.001463005,0.00001201715,0.00003321107,0.0138574],"genre_scores_gemma":[0.9987649,0.00001366394,0.000441619,0.0004652559,0.00008822907,0.00006470523,0.00001189924,0.00001467233,0.000134995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2867968,"threshold_uncertainty_score":0.9592996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06047152937730896,"score_gpt":0.2520329650817122,"score_spread":0.1915614357044033,"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."}}