{"id":"W6912460579","doi":"10.5281/zenodo.3466112","title":"Appendix: Species Results","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Boreal; Ectotherm; Extinction (optical mineralogy); Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001135171,0.0009204903,0.00102522,0.00480516,0.001369501,0.0009806509,0.001930704,0.0007931152,0.7458292],"category_scores_gemma":[0.01044911,0.0006149362,0.000482374,0.005186826,0.0003734674,0.001522993,0.001125657,0.0009358859,0.2825853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002038242,"about_ca_system_score_gemma":0.003340126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08039682,"about_ca_topic_score_gemma":0.1213938,"domain_scores_codex":[0.9992363,0.00008782383,0.0001148143,0.0001394212,0.0003423659,0.0000792517],"domain_scores_gemma":[0.9899922,0.002574789,0.0004493527,0.0007463956,0.005798821,0.0004383672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002495435,0.00001669568,0.0005133582,0.0003931337,0.000008932786,0.00003211909,0.00003087093,0.0001541427,0.00008425299,0.0004488792,0.9877615,0.01053113],"study_design_scores_gemma":[0.00007139234,0.00002097658,0.008960048,0.0003542517,0.00001819382,0.000224952,0.0001296951,0.0001676053,0.0001278649,0.003877003,0.9860228,0.00002524537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005614026,0.0001801647,0.00139878,0.0004280486,0.0006095566,0.0002716514,0.967773,0.0005512684,0.02822605],"genre_scores_gemma":[0.006907543,0.0006375108,0.01139158,0.0008985371,0.0003474469,0.0008942969,0.9218569,0.000976297,0.05608979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7458292,"threshold_uncertainty_score":0.3625438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445639337154016,"score_gpt":0.2238717687515662,"score_spread":0.199415375380026,"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."}}