{"id":"W2896392056","doi":"10.1101/443432","title":"The genetics of morphological and behavioural island traits in deer mice","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculty of Arts and Sciences; University of British Columbia; Ministry of Forests, Lands and Natural Resource Operations; Howard Hughes Medical Institute; National Academy of Sciences of Ukraine; Institute for Quantitative Social Science, Harvard University; Harvard University","keywords":"Peromyscus; Mainland; Biology; Deer mouse; Trait; Aggression; Zoology; House mice; Ecology; Developmental psychology; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000430609,0.0002581523,0.0003096494,0.00003412521,0.0001810952,0.0000311662,0.0003760278,0.0003698905,0.0001257183],"category_scores_gemma":[0.0000665747,0.000194626,0.00005316384,0.0001440275,0.001075491,0.00004084171,0.0009377485,0.000424579,0.00003134753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009159244,"about_ca_system_score_gemma":0.00003198588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007665733,"about_ca_topic_score_gemma":0.0002689192,"domain_scores_codex":[0.9985221,0.00009582093,0.0003385158,0.0005055609,0.0001847766,0.00035325],"domain_scores_gemma":[0.9993384,0.00007270045,0.0001922405,0.0002824334,0.0000361055,0.00007814244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002283919,0.00008710029,0.8927057,0.00001320662,0.00001498172,0.00004388235,0.00001928192,0.000007742679,0.1068392,0.00001573394,0.0002255758,0.000004754598],"study_design_scores_gemma":[0.0002031406,0.00009677922,0.9878146,0.00002599321,0.0000551529,6.079654e-8,0.000004938623,0.00004312388,0.01118297,0.000003166939,0.0003439249,0.0002261274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998545,0.0007240974,0.00002053514,0.0001115191,0.0001982081,0.0003032158,0.00005430605,0.00002507386,0.00001804849],"genre_scores_gemma":[0.9984424,0.0004119509,0.0009676805,0.00005333999,0.00004010118,0.00005773809,4.379814e-8,0.00002046665,0.000006277779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09565628,"threshold_uncertainty_score":0.7936617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993543205528244,"score_gpt":0.2268343132719475,"score_spread":0.2068988812166651,"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."}}