{"id":"W4206759923","doi":"10.5558/tfc2021-031","title":"How to put forest and conservation genomics into motion for and with Indigenous communities?","year":2021,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Indigenous; Context (archaeology); Genomics; Traditional knowledge; Knowledge management; Environmental resource management; Geography; Ecology; Biology; Computer science; Genome; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.04449532,0.0004368555,0.0008891654,0.002215573,0.007936657,0.01151258,0.002039567,0.007466921,0.006702597],"category_scores_gemma":[0.03900776,0.0003331698,0.0007391375,0.002272276,0.01787069,0.02382812,0.008720831,0.008262524,0.00113053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006676001,"about_ca_system_score_gemma":0.0545238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01966152,"about_ca_topic_score_gemma":0.03809505,"domain_scores_codex":[0.9788615,0.01509167,0.0006633136,0.001030758,0.002078497,0.002274314],"domain_scores_gemma":[0.9637951,0.02081386,0.001928538,0.00229814,0.005185077,0.005979484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007146261,0.0002716479,0.006305321,0.007085362,0.0001286473,0.001376261,0.1710764,0.0004077539,0.004074017,0.2302511,0.06149849,0.5174536],"study_design_scores_gemma":[0.00002014129,0.0001330017,0.006547743,0.006949606,0.00007018069,0.0006388907,0.1740374,0.0002464198,0.0009811105,0.1313231,0.6789672,0.0000852085],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01414396,0.03893651,0.01386845,0.8995264,0.004539733,0.0002108347,0.00008371339,0.0001171045,0.0285733],"genre_scores_gemma":[0.4875094,0.1047889,0.1141961,0.2688662,0.004701677,0.0009639572,0.0002430511,0.0002237685,0.01850679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04449532,"threshold_uncertainty_score":0.2353166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459697506175979,"score_gpt":0.1927502504159586,"score_spread":0.1781532753541988,"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."}}