{"id":"W6906001392","doi":"10.15468/dl.kuu8za","title":"Occurrence Download","year":2022,"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":[0.0009819036,0.001950225,0.001547624,0.004786371,0.0009781393,0.002550305,0.002647818,0.002118406,0.147644],"category_scores_gemma":[0.005933544,0.0008659625,0.001253253,0.008867059,0.0004393395,0.002345829,0.002510402,0.001924059,0.219778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497026,"about_ca_system_score_gemma":0.002177216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979708,"about_ca_topic_score_gemma":0.03135337,"domain_scores_codex":[0.9989842,0.0001433617,0.0001280594,0.000361177,0.0002185178,0.00016478],"domain_scores_gemma":[0.9975848,0.0007009616,0.0002174746,0.0006364544,0.0005878244,0.0002724815],"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":[0.00003033789,0.00001263078,0.000435264,0.0005533692,0.00001516126,0.00001630254,0.00002312575,0.0001337228,0.0001230149,0.0003394996,0.9967889,0.001528755],"study_design_scores_gemma":[0.00007645089,0.00001054961,0.002205598,0.0002136823,0.00001558369,0.0000428294,0.00008314311,0.0001928313,0.0002005891,0.0007610932,0.9961792,0.00001849507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005150541,0.00003194675,0.00004649692,0.00004264243,0.00001438414,0.000006074932,0.9987414,0.0004357919,0.0006296565],"genre_scores_gemma":[0.0001808516,0.00003630884,0.0002045278,0.00005000362,0.000004135904,0.00004356721,0.9988797,0.0001424333,0.0004583781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.852356,"threshold_uncertainty_score":0.4939183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}