{"id":"W6961973841","doi":"10.15468/dl.uvw2j2","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","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":[0.001049153,0.00197059,0.001606592,0.004938269,0.001039427,0.002726829,0.002872144,0.002123096,0.1596908],"category_scores_gemma":[0.006596118,0.000924949,0.001316212,0.009367525,0.0004516467,0.002445671,0.002607176,0.002103509,0.221764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583863,"about_ca_system_score_gemma":0.002375159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212723,"about_ca_topic_score_gemma":0.03350529,"domain_scores_codex":[0.9989337,0.0001521467,0.0001355561,0.0003789953,0.0002293304,0.0001702254],"domain_scores_gemma":[0.9973708,0.0008120433,0.0002209457,0.0006798322,0.0006336903,0.0002826127],"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":[0.00002939467,0.00001224094,0.0003964112,0.0005822399,0.00001541029,0.00001564937,0.00002470744,0.0001331754,0.0001166667,0.0003724281,0.9968502,0.001451396],"study_design_scores_gemma":[0.00007371697,0.000009205815,0.001879461,0.0002239421,0.00001596549,0.00003767929,0.00008368968,0.0001827506,0.0001949214,0.0008497271,0.9964296,0.00001924646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004240306,0.00002827922,0.00004751381,0.00004152537,0.0000132801,0.0000060557,0.9987998,0.0004130202,0.0006080797],"genre_scores_gemma":[0.0001604897,0.00003605579,0.0002107598,0.00004976064,0.000003580765,0.00004880246,0.9988619,0.0001581042,0.0004705435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8403093,"threshold_uncertainty_score":0.5342188,"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."}}