{"id":"W6943411723","doi":"10.15468/dl.nedeqp","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":[0.0009596751,0.001983193,0.001579863,0.004785892,0.001019808,0.002537896,0.002784672,0.00214156,0.1654841],"category_scores_gemma":[0.006139753,0.0008899065,0.001240449,0.009099162,0.0004498846,0.002313023,0.002506467,0.001962993,0.235527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551402,"about_ca_system_score_gemma":0.002217284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100794,"about_ca_topic_score_gemma":0.03371378,"domain_scores_codex":[0.9990469,0.0001332425,0.0001166536,0.0003396313,0.0002032913,0.0001603236],"domain_scores_gemma":[0.9975927,0.0007263207,0.0002064272,0.0006102257,0.0006026417,0.0002615783],"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":[0.00002671506,0.0000112272,0.0003799484,0.0005418814,0.0000135926,0.00001495244,0.00002272811,0.0001222679,0.0001149306,0.00032215,0.9969888,0.001440779],"study_design_scores_gemma":[0.00007115288,0.000008996862,0.001879156,0.0002111869,0.00001482373,0.00003732475,0.00007995053,0.0001731402,0.0001931209,0.0007703372,0.9965428,0.00001807767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004459075,0.00003018537,0.00004674845,0.00003947422,0.0000136291,0.000006000035,0.9987547,0.0004148219,0.0006496615],"genre_scores_gemma":[0.0001793878,0.00003640486,0.0002139788,0.00005207912,0.000004210003,0.00005128833,0.9987961,0.0001656298,0.0005009119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345159,"threshold_uncertainty_score":0.5535996,"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."}}