{"id":"W4322746105","doi":"10.1007/978-3-031-15988-6_28","title":"Network Framework for Forest Ecology and Management","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in global change research","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; University of Toronto; Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Conceptualization; Ecology; Relevance (law); Forest management; Forest ecology; Ecological network; Resilience (materials science); Environmental resource management; Ecosystem management; Computer science; Geography; Data science; Ecosystem; Environmental science; Artificial intelligence; Biology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007283132,0.0001764663,0.0002511283,0.0000673599,0.0002681243,0.00001295113,0.0002597646,0.0003044898,0.00008676418],"category_scores_gemma":[0.00007070585,0.0001771664,0.00003753321,0.0001651851,0.0006445491,0.0001145736,0.0009026692,0.0003608295,0.0003029647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003648082,"about_ca_system_score_gemma":0.000005405666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002009773,"about_ca_topic_score_gemma":0.02059176,"domain_scores_codex":[0.9983355,0.00003916825,0.0001927338,0.000518824,0.0002829091,0.000630856],"domain_scores_gemma":[0.9989874,0.0006742171,0.00006320511,0.000191687,0.00002073515,0.0000627158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008306365,0.0000123131,0.08501142,0.0001357606,0.00002504871,0.00004516959,0.00005062471,0.0003494524,4.99678e-9,0.8988919,0.001571359,0.01382385],"study_design_scores_gemma":[0.0002743379,0.0001398956,0.0574444,0.0001191452,0.000008362678,0.000001518211,0.00002869927,0.0002203496,6.210244e-9,0.8334625,0.1081621,0.0001387406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003341986,0.009764475,0.0007742121,0.001883835,0.001215407,0.00389405,0.00009492004,0.00007052458,0.9819684],"genre_scores_gemma":[0.03551616,0.4080324,0.03264673,0.001797755,0.001900701,0.008980769,0.000202438,0.0001982148,0.5107249],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4712435,"threshold_uncertainty_score":0.9972799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08961840134021613,"score_gpt":0.3926317988405056,"score_spread":0.3030133975002894,"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."}}