{"id":"W6943626476","doi":"10.15468/dl.zkf9tw","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); Reference data; Software","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":[0.0009315405,0.001980469,0.00159903,0.00486223,0.001027555,0.002601667,0.002774627,0.002025809,0.1628821],"category_scores_gemma":[0.006195561,0.000964764,0.001188929,0.009905417,0.0004442364,0.002425505,0.002715362,0.001995031,0.2208864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161776,"about_ca_system_score_gemma":0.002389195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02418318,"about_ca_topic_score_gemma":0.03844947,"domain_scores_codex":[0.9989675,0.000132091,0.0001331999,0.0003601655,0.0002360299,0.000170964],"domain_scores_gemma":[0.9975891,0.0006787897,0.0002160111,0.0006452597,0.0005913533,0.0002794805],"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":[0.00002820494,0.00001050165,0.0003624984,0.0005055593,0.00001409673,0.00001505509,0.0000259925,0.0001192169,0.0001057296,0.0003693741,0.9969982,0.001445488],"study_design_scores_gemma":[0.00006970728,0.000007693478,0.001822159,0.0001880197,0.00001398914,0.00003834784,0.00007955015,0.0001526494,0.0001754198,0.0007170286,0.9967185,0.00001689209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004310812,0.000026096,0.00004715435,0.00003664034,0.00001216157,0.000005133767,0.998773,0.0004262569,0.0006304509],"genre_scores_gemma":[0.0001570767,0.00003310551,0.0002003062,0.00004336293,0.000003301599,0.00004027829,0.9988968,0.0001665438,0.0004591617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371179,"threshold_uncertainty_score":0.5448951,"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."}}