{"id":"W4413567293","doi":"10.64628/aam.vugsvdh6t","title":"After wildfires, logging the forest can harm wildlife for up to a decade","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Logging; Wildlife; Harm; Environmental science; Agroforestry; Business; Illegal logging; Environmental resource management; Forestry; Natural resource economics; Geography; Ecology; Political science; Economics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006088574,0.0006991862,0.0004316593,0.000613307,0.0009550966,0.002059152,0.0002788603,0.001460264,0.02510303],"category_scores_gemma":[0.001670276,0.0002893098,0.0004525927,0.001007181,0.000656163,0.001800021,0.000857792,0.0011875,0.003755444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705448,"about_ca_system_score_gemma":0.0004728882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002526315,"about_ca_topic_score_gemma":0.006575531,"domain_scores_codex":[0.9997831,0.00002964408,0.000007884003,0.00003918303,0.0001030701,0.00003715252],"domain_scores_gemma":[0.9994855,0.0002085619,0.0000658918,0.0001166865,0.00005975313,0.00006349499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004785683,0.0004047698,0.01601647,0.0009092051,0.0005359419,0.00163036,0.0009523813,0.01672285,0.01176524,0.340944,0.1903013,0.4193389],"study_design_scores_gemma":[0.00005573698,0.00008050203,0.03047452,0.0001922474,0.0001277179,0.00149951,0.001070283,0.01387005,0.004087773,0.7260052,0.222483,0.00005352149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3104526,0.02145551,0.0914079,0.02457087,0.0116007,0.00006703584,0.004353152,0.001574741,0.5345176],"genre_scores_gemma":[0.6707061,0.01743286,0.01732804,0.002615921,0.00324189,0.00004966366,0.001913104,0.0007073029,0.2860051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02510303,"threshold_uncertainty_score":0.083978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691164306260432,"score_gpt":0.2473562017604137,"score_spread":0.2304445586978094,"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."}}