{"id":"W6924839947","doi":"10.15468/dl.sgubhq","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":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001164599,0.002082871,0.001632959,0.005371806,0.0009501184,0.002581689,0.00303075,0.002040569,0.1717252],"category_scores_gemma":[0.006266383,0.0009984309,0.00118089,0.01059729,0.0004674949,0.002487289,0.002458358,0.002049267,0.2315444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779688,"about_ca_system_score_gemma":0.002491417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02498871,"about_ca_topic_score_gemma":0.03509197,"domain_scores_codex":[0.998871,0.0001505515,0.000148879,0.0003836447,0.0002603995,0.0001855393],"domain_scores_gemma":[0.997253,0.0007700023,0.000256368,0.0007269286,0.0006611147,0.0003326964],"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":[0.00002977975,0.00001065977,0.0003133887,0.0004475499,0.00001322411,0.00001363709,0.00002069755,0.0001202328,0.0001024661,0.0003696175,0.9972652,0.001293504],"study_design_scores_gemma":[0.0000726932,0.000007606678,0.001831523,0.00015752,0.00001338512,0.00003593358,0.0000646905,0.0001617208,0.0002057382,0.0007260791,0.9967056,0.0000175228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003219066,0.00001997186,0.00003779103,0.00003105947,0.000009541229,0.000004396202,0.9989693,0.0003316118,0.0005642357],"genre_scores_gemma":[0.0001317011,0.00002575545,0.000154535,0.00003648515,0.00000277809,0.0000330728,0.9990392,0.0001281526,0.0004483992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8282748,"threshold_uncertainty_score":0.574478,"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."}}