{"id":"W6905834838","doi":"10.15468/dl.tdnmme","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charadrius; Calidris; Download; Range (aeronautics); Matching (statistics)","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":[0.0005745408,0.002826693,0.001897773,0.00462321,0.001229789,0.003086112,0.002882852,0.002530713,0.1886245],"category_scores_gemma":[0.004699766,0.0008861392,0.001829476,0.008434138,0.0003784077,0.003521459,0.002978292,0.002206406,0.3128373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688216,"about_ca_system_score_gemma":0.002205441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02613419,"about_ca_topic_score_gemma":0.05312166,"domain_scores_codex":[0.9989457,0.0001130756,0.0001292102,0.0003883059,0.000245505,0.0001782769],"domain_scores_gemma":[0.9983295,0.0003551093,0.0001128813,0.000426987,0.0005602419,0.0002151582],"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":[0.00003975364,0.00001424448,0.0004010471,0.0005060491,0.00001544501,0.00002458912,0.0000184374,0.0001557227,0.0001137473,0.0003027395,0.9954371,0.002971127],"study_design_scores_gemma":[0.00006768096,0.00001449902,0.001573899,0.0001634927,0.00001600808,0.00006315096,0.00009236477,0.0005393702,0.0002157022,0.001101673,0.9961303,0.00002184992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001038444,0.0001056427,0.0001502368,0.00008203706,0.00004020121,0.00001188425,0.995679,0.001979299,0.001847855],"genre_scores_gemma":[0.000301572,0.00006713943,0.000425574,0.00007552794,0.000008909492,0.0000349038,0.9979383,0.0002706036,0.000877533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8113755,"threshold_uncertainty_score":0.6310117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}