{"id":"W6887208499","doi":"10.15468/dl.u95kek","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); Data set","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":[0.001020464,0.001969303,0.001617484,0.004788722,0.001001148,0.002621941,0.002809555,0.002089138,0.1703887],"category_scores_gemma":[0.006200783,0.0009419234,0.001156339,0.009405541,0.0004463145,0.002565338,0.002667519,0.002088773,0.2355166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523299,"about_ca_system_score_gemma":0.002277647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01833015,"about_ca_topic_score_gemma":0.03299137,"domain_scores_codex":[0.9989317,0.0001546464,0.0001292856,0.0003842877,0.0002305408,0.0001694495],"domain_scores_gemma":[0.9973175,0.0007635377,0.0002458362,0.0007452318,0.0006267691,0.0003010848],"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":[0.00002634735,0.00001073759,0.0003245135,0.0004848115,0.00001304593,0.0000125651,0.00002163154,0.0001130218,0.00009927306,0.0003683741,0.9972485,0.001277244],"study_design_scores_gemma":[0.0000669872,0.000007377329,0.001522372,0.0001694365,0.00001222195,0.00003053866,0.00006426449,0.0001357364,0.0001657388,0.0008464624,0.9969621,0.00001658402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003853506,0.00002472331,0.00004715327,0.00003651765,0.00001174989,0.000005218806,0.998771,0.00039288,0.0006721959],"genre_scores_gemma":[0.0001590681,0.00003278182,0.0002181447,0.00004834016,0.000003607147,0.00004470687,0.9987891,0.0001762252,0.0005280324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296113,"threshold_uncertainty_score":0.570007,"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."}}