{"id":"W2117389593","doi":"10.1093/icb/icq013","title":"Grand Challenges in Migration Biology","year":2010,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Process (computing); Abiotic component; Biology; Ecology; Data science; Evolutionary biology; Computer science","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":[0.0001896313,0.0001329838,0.0002126965,0.00005140088,0.00007624573,0.000005952851,0.00009930423,0.0001721052,0.0004704648],"category_scores_gemma":[0.00004664694,0.00009536545,0.00002169633,0.00009914752,0.0006063677,0.0001104189,0.00005314332,0.0002830021,0.0001145814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001749407,"about_ca_system_score_gemma":0.000009327913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003164232,"about_ca_topic_score_gemma":0.04565848,"domain_scores_codex":[0.9991324,0.000200352,0.0001664342,0.0003101568,0.00002305323,0.0001675915],"domain_scores_gemma":[0.9995832,0.0002047379,0.00006374741,0.00009671755,0.000014415,0.00003721258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005328042,0.00006302557,0.8970582,8.234553e-7,0.00001012235,8.892738e-7,0.002276919,0.000001272283,0.03205904,0.06034211,0.0004247417,0.007709555],"study_design_scores_gemma":[0.0003979448,0.0003284199,0.9315246,0.00000386332,0.000004087703,0.000007672335,0.0007525269,0.0003027343,0.002654049,0.02985701,0.03400917,0.0001579229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794149,0.0002410437,0.0001907549,0.002384253,0.0001862361,0.0001490912,0.000004834379,0.00001515763,0.0174137],"genre_scores_gemma":[0.9989305,0.0002261259,0.0003309094,0.0002694144,0.00003399526,0.00006179049,0.00001932903,0.000002188187,0.0001258079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04534206,"threshold_uncertainty_score":0.9717557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06434529122497912,"score_gpt":0.3021544956504884,"score_spread":0.2378092044255093,"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."}}