{"id":"W6887157393","doi":"10.15468/dl.s3b8kf","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":[0.001042352,0.001983683,0.001604385,0.004688522,0.001040629,0.002607696,0.002813993,0.002195222,0.1608229],"category_scores_gemma":[0.006399141,0.0009160051,0.001267049,0.008885828,0.0004454967,0.002410098,0.002500944,0.002079307,0.2207155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608451,"about_ca_system_score_gemma":0.002273718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02152095,"about_ca_topic_score_gemma":0.03313673,"domain_scores_codex":[0.9989519,0.0001505947,0.0001280153,0.000374888,0.000225091,0.0001694692],"domain_scores_gemma":[0.9974009,0.0008063778,0.0002248908,0.0006711524,0.0006233871,0.0002733439],"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":[0.00002914078,0.00001194557,0.0003837034,0.0005495688,0.0000148178,0.00001511119,0.00002205263,0.00013163,0.0001145909,0.0003591307,0.9970002,0.00136807],"study_design_scores_gemma":[0.0000775076,0.00000954025,0.001935036,0.0002215529,0.00001594811,0.0000376373,0.00007672744,0.0001816862,0.000200916,0.000823444,0.9964008,0.00001918686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004172565,0.00002837253,0.00004546227,0.00004023265,0.00001294725,0.000005716984,0.9988447,0.0003895106,0.0005913306],"genre_scores_gemma":[0.0001717573,0.00003551189,0.0002052445,0.00005158309,0.000003995275,0.00004789488,0.9988618,0.0001546987,0.0004675012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391771,"threshold_uncertainty_score":0.5380061,"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."}}