{"id":"W6962186360","doi":"10.15468/dl.xmaqr9","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); Column (typography); Identification (biology)","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":[0.001122114,0.001997532,0.001642604,0.005369565,0.001072744,0.002850755,0.002970671,0.00204289,0.1848128],"category_scores_gemma":[0.006733994,0.000990583,0.001166361,0.01061166,0.0004674893,0.002501918,0.002680528,0.002084087,0.2547571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670175,"about_ca_system_score_gemma":0.002522746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272081,"about_ca_topic_score_gemma":0.0376819,"domain_scores_codex":[0.9988311,0.0001564112,0.0001504877,0.0004126184,0.0002625277,0.0001867872],"domain_scores_gemma":[0.9971508,0.0008336874,0.0002578349,0.0007360031,0.0006990563,0.0003226113],"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":[0.00002491319,0.000009387978,0.0003177147,0.0004773562,0.00001296789,0.00001344541,0.0000226135,0.0001004223,0.0001007334,0.0003741955,0.9973093,0.001236959],"study_design_scores_gemma":[0.00006072662,0.000006412348,0.001545112,0.0001781177,0.00001290545,0.00003332454,0.00006772877,0.000124368,0.0001697037,0.0007533724,0.9970318,0.00001637518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003185425,0.00002189511,0.00004403426,0.00003195935,0.00001071381,0.000004525879,0.9988627,0.0003493823,0.0006429223],"genre_scores_gemma":[0.0001358106,0.00003093226,0.0001864529,0.00004211962,0.000003242729,0.00003834669,0.998904,0.0001698326,0.0004891527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8151872,"threshold_uncertainty_score":0.6182604,"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."}}