{"id":"W7098518562","doi":"","title":"The Algonquin Wolf Advisory Group Sponsored By: World Wildlife Fund Canada","year":2000,"lang":"en","type":"article","venue":"","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wildlife; Group (periodic table); Wildlife management; Government (linguistics); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009868261,0.00009643895,0.00009197222,3.758222e-7,0.0007942214,0.00005390099,0.0002758382,0.00002476849,0.003775899],"category_scores_gemma":[0.000007622555,0.00002552844,0.00004460648,0.0002715469,0.00007724744,0.0000277015,0.00003523104,0.00008346299,0.00006724741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003271085,"about_ca_system_score_gemma":0.000004692782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3882332,"about_ca_topic_score_gemma":0.9687055,"domain_scores_codex":[0.9991666,0.00003317926,0.0001584831,0.0001951822,0.0001601012,0.0002864237],"domain_scores_gemma":[0.9994183,0.000371478,0.00002578557,0.00006133498,0.00001478688,0.0001083648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001543197,0.00003389039,0.0006193552,2.863315e-7,0.00001055852,4.839626e-7,0.000002660418,5.988182e-7,0.001027617,0.0008794758,0.5060405,0.4913692],"study_design_scores_gemma":[0.0000407502,0.00002361326,0.051941,0.000001376363,0.000003293274,5.100009e-7,0.0001156994,0.00001556723,0.00002488075,0.0001080568,0.9476326,0.00009269632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976393,0.0007296717,0.000001581932,0.07668637,0.00005158127,0.0002256459,0.00005742256,0.0000685175,0.02453991],"genre_scores_gemma":[0.9525026,0.0004155998,0.00002389603,0.008043703,0.0001772021,0.00005113625,0.0000251637,7.601466e-7,0.03875995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5804722,"threshold_uncertainty_score":0.9971348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404145005271545,"score_gpt":0.1976952179428565,"score_spread":0.1836537678901411,"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."}}