{"id":"W6887209063","doi":"10.15468/dl.s3yaub","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); State (computer science); 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":[0.001074943,0.002039487,0.001596561,0.005126229,0.001055187,0.002557421,0.002986405,0.002101573,0.1582594],"category_scores_gemma":[0.006190742,0.0009191857,0.001195396,0.009813903,0.0004741261,0.002380631,0.002593266,0.002085121,0.2179673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607923,"about_ca_system_score_gemma":0.002367238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02139215,"about_ca_topic_score_gemma":0.03548734,"domain_scores_codex":[0.9989246,0.0001494911,0.0001334836,0.000383775,0.0002351502,0.0001734584],"domain_scores_gemma":[0.99744,0.0007413538,0.0002308864,0.0006745656,0.0006117942,0.0003014332],"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":[0.00002796941,0.00001168705,0.0003546549,0.000514016,0.00001405185,0.00001450823,0.00002263453,0.0001250429,0.0001161833,0.000364696,0.9970649,0.001369755],"study_design_scores_gemma":[0.00007301745,0.000008290195,0.00173993,0.0001825634,0.00001401792,0.0000373385,0.00007250992,0.0001571941,0.0001956308,0.0007669021,0.9967349,0.00001775854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004620293,0.00002851438,0.00004886186,0.00003794161,0.00001319049,0.000005769946,0.9987318,0.0004106653,0.0006770616],"genre_scores_gemma":[0.0001649551,0.00003230343,0.0002033663,0.00004506501,0.000003485744,0.00004467633,0.9988876,0.0001558123,0.0004628264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8417406,"threshold_uncertainty_score":0.5294303,"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."}}