{"id":"W6943500673","doi":"10.15468/dl.p33v4m","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.001028059,0.001864219,0.001534096,0.004930271,0.0009649939,0.002511306,0.002696483,0.002029569,0.146351],"category_scores_gemma":[0.005904706,0.000893275,0.001206042,0.009378846,0.0004498336,0.002231647,0.002466861,0.0020043,0.2065491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527513,"about_ca_system_score_gemma":0.002257929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983806,"about_ca_topic_score_gemma":0.03169452,"domain_scores_codex":[0.9989593,0.0001441441,0.0001321002,0.000356884,0.0002337507,0.0001738214],"domain_scores_gemma":[0.9975091,0.0007300106,0.0002313208,0.0006585839,0.0005947166,0.0002763039],"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":[0.00003080491,0.00001251205,0.0004112205,0.000561112,0.0000155478,0.00001568767,0.00002525937,0.0001315254,0.0001381377,0.0003986871,0.9967477,0.001511683],"study_design_scores_gemma":[0.00007099932,0.000008888666,0.002066301,0.0002079291,0.00001495714,0.00003815645,0.00007823396,0.0001491798,0.0002083704,0.0007670296,0.9963722,0.00001782836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004615089,0.00002659923,0.00004443709,0.00003632146,0.00001228881,0.000005384588,0.9988551,0.0003617935,0.0006119655],"genre_scores_gemma":[0.0001637709,0.00003242254,0.0001966426,0.00004239154,0.000003398638,0.00004259266,0.9989428,0.000138822,0.0004372328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.853649,"threshold_uncertainty_score":0.489593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}