{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009126866,0.00007071017,0.00008423809,0.00008962624,0.0001096471,0.0001197861,0.0004385672,0.00005044783,0.00002928043],"category_scores_gemma":[0.0002437398,0.00007197488,0.00003393578,0.0005138683,0.0001828329,0.000006904163,0.000592613,0.0002609543,0.00003678831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003206027,"about_ca_system_score_gemma":0.0000882157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003659738,"about_ca_topic_score_gemma":0.0001189377,"domain_scores_codex":[0.9986842,0.00005929089,0.0001807127,0.0003191337,0.0004833656,0.0002732693],"domain_scores_gemma":[0.9991927,0.00001091855,0.0000413013,0.0001886869,0.0004938655,0.00007259665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002283877,0.000318829,0.1692796,0.00001027722,0.00001280943,0.000003897678,0.0004992348,1.624395e-7,0.8201219,0.001299561,0.002939991,0.005490783],"study_design_scores_gemma":[0.0002598773,0.0002037603,0.8507137,0.00001274589,0.00000396774,0.000005483148,0.005844067,0.000002445617,0.1195836,0.00008312897,0.02318811,0.00009912152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947364,0.0002061132,0.000008313213,0.0006549147,0.00001671039,0.0001669014,0.000003150009,0.000009051211,0.004198493],"genre_scores_gemma":[0.9971249,0.0002890387,0.0001704278,0.0001072011,0.00006933758,0.00009955569,0.00005983118,0.00001103591,0.002068675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7005384,"threshold_uncertainty_score":0.293505,"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."}}