{"id":"W2789479354","doi":"","title":"Poster: Alberta's Upcoming Grizzly Bear Population Inventories","year":2018,"lang":"en","type":"article","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Grizzly Bears; Geography; Population; Ursus; Environmental health; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184068,0.001054113,0.0004331419,0.001607895,0.002303744,0.002632609,0.0009173716,0.001604571,0.1274154],"category_scores_gemma":[0.001354358,0.0004076357,0.0005871522,0.001004078,0.0005864291,0.0009308454,0.00139178,0.002533203,0.02235005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002648399,"about_ca_system_score_gemma":0.006036074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2247303,"about_ca_topic_score_gemma":0.6427772,"domain_scores_codex":[0.9995938,0.0000207542,0.00000983668,0.00005866811,0.0002106983,0.0001062614],"domain_scores_gemma":[0.9974338,0.0001648879,0.00006424886,0.0001103691,0.001405105,0.0008216579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007644618,0.00002068866,0.0008320477,0.0000192211,0.000005433466,0.00003885867,0.00002029718,0.00006009853,0.0002208738,0.0001132454,0.9892212,0.009371568],"study_design_scores_gemma":[0.00005181359,0.00003603839,0.02252323,0.00007951136,0.00002406203,0.00003953271,0.0002745845,0.0002421753,0.0003775497,0.0007425803,0.9755847,0.00002424835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02309109,0.01255518,0.005210734,0.1355533,0.3126378,0.001154879,0.108509,0.002956593,0.3983315],"genre_scores_gemma":[0.02888256,0.002561737,0.00277354,0.008875888,0.01701161,0.0001903978,0.02781738,0.0003966767,0.9114903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7752697,"threshold_uncertainty_score":0.4468445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013342181286622,"score_gpt":0.2206250768149771,"score_spread":0.2104916550021109,"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."}}