{"id":"W3037202145","doi":"10.1093/conphys/coaa056","title":"Development and validation of protein biomarkers of health in grizzly bears","year":2020,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Foothills Medical Centre; University of Victoria; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Forest Resource Improvement Association of Alberta; Seven Generations Energy; Genome British Columbia; fRI Research; Shell Canada; University of Victoria","keywords":"Grizzly Bears; Ursus; Biology; Ecology; Zoology; Population; Reproduction; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002219071,0.00005109099,0.00014519,0.00002485165,0.00002818271,9.513885e-7,0.00005407759,0.0000458985,0.00007198316],"category_scores_gemma":[0.00007408895,0.00005282461,0.000009661056,0.0001950882,0.0001334657,0.0000842822,0.00004615023,0.00003759442,0.000008251118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002562237,"about_ca_system_score_gemma":0.00005111657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001626223,"about_ca_topic_score_gemma":0.00005507236,"domain_scores_codex":[0.9992844,0.0001156001,0.0003264138,0.0001436862,0.00004863186,0.00008128271],"domain_scores_gemma":[0.9996573,0.00003714632,0.000217552,0.00005459351,0.000009653637,0.00002375017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009022589,0.0000544837,0.7511489,0.00004909111,0.00001250154,1.544682e-7,0.001419976,0.0001102626,0.2393886,0.0004886112,0.0005362745,0.006700897],"study_design_scores_gemma":[0.0002726259,0.000069649,0.9812741,0.000009273678,0.000001153126,1.860912e-7,0.00008623271,0.0003694037,0.01654913,0.000468553,0.000856335,0.00004335429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921011,0.00001883624,0.0001432201,0.0074217,0.00001483426,0.0002279054,0.000001520789,0.000006824941,0.00006405181],"genre_scores_gemma":[0.9955019,0.000004448346,0.002801854,0.001638109,0.000002814893,0.00001724144,0.0000240264,0.000002741423,0.000006856634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2301252,"threshold_uncertainty_score":0.2154125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697331628149814,"score_gpt":0.2365332142946112,"score_spread":0.2095598980131131,"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."}}