{"id":"W6943304417","doi":"10.15468/dl.scj4pj","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); State (computer science)","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":[0.001108173,0.001954662,0.001653693,0.005289286,0.00101893,0.002790931,0.002919634,0.002014007,0.1732556],"category_scores_gemma":[0.006497583,0.0009869392,0.001162736,0.01058672,0.0004651288,0.002419543,0.002696007,0.002029147,0.2385228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569263,"about_ca_system_score_gemma":0.002365128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064466,"about_ca_topic_score_gemma":0.03319854,"domain_scores_codex":[0.9988906,0.0001478437,0.0001467681,0.0003886937,0.0002473938,0.0001786779],"domain_scores_gemma":[0.9974042,0.0007394459,0.0002445387,0.0006933448,0.0006234238,0.0002950907],"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":[0.00002805821,0.00001009057,0.00035391,0.0005706795,0.00001547671,0.00001497771,0.00002543915,0.0001145516,0.0001176547,0.0003972671,0.9970029,0.001349024],"study_design_scores_gemma":[0.00006486366,0.00000684666,0.001637579,0.000189721,0.00001441796,0.00003554062,0.0000698673,0.0001228112,0.0001716168,0.0007493655,0.9969203,0.00001709545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003575664,0.0000248347,0.00004658891,0.00003164303,0.00001072705,0.000004624811,0.9988542,0.0003693857,0.0006223922],"genre_scores_gemma":[0.0001509132,0.00003459022,0.0001978684,0.00004115058,0.000003268523,0.00004099996,0.9988875,0.000179343,0.0004644194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8267444,"threshold_uncertainty_score":0.5795978,"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."}}