{"id":"W2745792005","doi":"10.36253/ifm-531","title":"LA CONSERVAZIONE DELLA BIODIVERSITÀ NEI SISTEMI FORESTALI 2. SPECIE, STRUTTURE, PROCESSI","year":2003,"lang":"","type":"article","venue":"L’Italia forestale e montana","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; University of Cambridge; Entomological Society of Canada; U.S. Department of Agriculture","keywords":"Context (archaeology); Biodiversity; Silviculture; Geography; Forest management; Computer science; Environmental resource management; Ecology; Forestry; Environmental science; Biology; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006081182,0.000175056,0.0001063454,0.0006156996,0.00170294,0.0037235,0.000305468,0.000543864,0.005209197],"category_scores_gemma":[0.0006619238,0.00008364538,0.000129922,0.001216458,0.006384674,0.001830487,0.001210379,0.0005938995,0.0004765806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264254,"about_ca_system_score_gemma":0.0008638704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004008324,"about_ca_topic_score_gemma":0.01029945,"domain_scores_codex":[0.9997495,0.00009237074,0.00000724495,0.00005588043,0.00005361258,0.00004139206],"domain_scores_gemma":[0.9996287,0.0001771302,0.00007682917,0.0000664152,0.00003037985,0.00002046781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004398783,0.00002066184,0.01028402,0.0002184871,0.00001211414,0.0003399565,0.0868047,0.0007864721,0.005378884,0.8130809,0.003745962,0.07928388],"study_design_scores_gemma":[0.00001083548,0.00009961622,0.04512009,0.0003423477,0.00003079787,0.0009093451,0.05240075,0.001240049,0.005159813,0.1832693,0.711385,0.0000320308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3935823,0.007303516,0.01642404,0.006070271,0.00008177978,0.00003463636,0.0003054246,0.0000920173,0.576106],"genre_scores_gemma":[0.9668969,0.001179537,0.003072019,0.0001143805,0.00002496962,0.00002025817,0.00006916956,0.00002522546,0.02859754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005209197,"threshold_uncertainty_score":0.01742655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380715227632539,"score_gpt":0.2245909124813682,"score_spread":0.2007837602050428,"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."}}