{"id":"W6924587356","doi":"10.15468/dl.sgnuyh","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); Order (exchange); Column (typography)","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":[0.001153961,0.002047367,0.001701313,0.005224317,0.001106389,0.002795106,0.003073758,0.002080802,0.1776859],"category_scores_gemma":[0.006503841,0.0009843998,0.001185566,0.01030595,0.0004757015,0.002464314,0.002691159,0.002148908,0.2413726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741199,"about_ca_system_score_gemma":0.00259565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02453119,"about_ca_topic_score_gemma":0.03983633,"domain_scores_codex":[0.9988721,0.0001492494,0.0001428459,0.0003884883,0.0002613317,0.0001858414],"domain_scores_gemma":[0.9973176,0.000763129,0.0002489809,0.0006921678,0.0006765802,0.0003015566],"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":[0.00002668194,0.00001024672,0.0003201886,0.0005008472,0.00001399038,0.0000141314,0.00002401332,0.0001057096,0.0001129057,0.0003900617,0.9971725,0.001308676],"study_design_scores_gemma":[0.00006277729,0.000006441995,0.001579248,0.0001776335,0.00001343207,0.00003370163,0.00006755619,0.0001181693,0.0001805019,0.0007391135,0.997004,0.00001745044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003287817,0.00002366801,0.00004762375,0.0000327043,0.00001104378,0.000004813894,0.9987962,0.0003792179,0.0006717283],"genre_scores_gemma":[0.0001396763,0.00003096489,0.0002006639,0.00004126551,0.00000315099,0.00004092588,0.9988958,0.0001790847,0.0004685184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8223141,"threshold_uncertainty_score":0.5944185,"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."}}