{"id":"W3217192081","doi":"","title":"Individual Identification in American Pika","year":2021,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Pika; Marmot; Geography; Population; Identification (biology); Ecology; Biology; Demography; National park; Sociology","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":[0.0003253874,0.00009497764,0.0002271373,0.0006918015,0.0006009764,0.0006242623,0.00014317,0.0002760113,0.002266292],"category_scores_gemma":[0.0006639273,0.0001059587,0.0001191146,0.0003117958,0.0003181057,0.0002280192,0.0006562224,0.0002470715,0.0005897481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003669922,"about_ca_system_score_gemma":0.0002639287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00922625,"about_ca_topic_score_gemma":0.02015433,"domain_scores_codex":[0.9997504,0.0000361935,0.00001223638,0.0000843536,0.00006800314,0.00004865614],"domain_scores_gemma":[0.9996779,0.00003681784,0.00009519108,0.00001889478,0.00006462583,0.0001065534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004118297,0.0001389267,0.8822268,0.00004920334,0.00007242271,0.0003943927,0.00290199,0.0001653659,0.06580916,0.0003894471,0.0007000925,0.04674042],"study_design_scores_gemma":[0.000002303539,0.00008906491,0.9970556,0.000003154636,0.00001357331,0.000361252,0.0006417598,0.0002364866,0.000860849,0.00005634518,0.000671797,0.000007899444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980627,0.00006189026,0.0001825966,0.00002861161,0.000005575698,0.000003570741,0.00003932622,0.00001165958,0.00160401],"genre_scores_gemma":[0.9967917,0.00005640682,0.0004528928,0.00004406915,0.000004555575,0.000006077637,0.00006877281,0.000005941369,0.002569644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00922625,"threshold_uncertainty_score":0.01834512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1525864561782203,"score_gpt":0.4796268052342744,"score_spread":0.3270403490560541,"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."}}