{"id":"W6948502222","doi":"10.5061/dryad.73n5tb302","title":"Subpopulation contributions to a breeding metapopulation of migratory Arctic herbivores: Survival, fecundity, and asymmetric dispersal","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Birds Canada; Government of Canada","funders":"","keywords":"Ectotherm; Population; Netting; Nekton; Limiting; Arctic","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001632581,0.0002138788,0.0003652443,0.0007381837,0.0004982736,0.0007330334,0.0003875012,0.0002765429,0.0006671622],"category_scores_gemma":[0.004321819,0.0002902704,0.0006925189,0.0004108872,0.0003101852,0.0005833204,0.0005193432,0.0003749452,0.0001492448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005611209,"about_ca_system_score_gemma":0.0003636953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474901,"about_ca_topic_score_gemma":0.0528347,"domain_scores_codex":[0.9996669,0.00009976058,0.00003030774,0.0001395859,0.00002781213,0.00003569109],"domain_scores_gemma":[0.9979232,0.0008550483,0.0005639031,0.0003247798,0.0001928208,0.0001403341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004126476,0.00001509056,0.9917763,0.00001068354,0.0001551559,0.00002967702,0.0001410437,0.003950071,0.0004790104,0.0001452993,0.00008801133,0.003168333],"study_design_scores_gemma":[0.000008839867,0.00005197724,0.9441314,0.00002005886,0.0001134959,0.0001550517,0.0002574004,0.05399102,0.0001669858,0.0007150555,0.0003700481,0.00001850988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9990517,0.0000648768,0.00059919,0.00001555611,0.000001247578,0.000001704949,0.0001584288,0.000005537156,0.0001017904],"genre_scores_gemma":[0.9989151,0.00004113711,0.0003912928,0.000005223044,0.000003128199,0.000004114891,0.0005625403,0.000002703443,0.00007477604],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02474901,"threshold_uncertainty_score":0.04920989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045364855334262,"score_gpt":0.2861255466735362,"score_spread":0.2656718981201936,"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."}}