{"id":"W6905845239","doi":"10.15468/dl.xnlate","title":"Occurrence Download","year":2018,"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); Ornithology; Collectable; Range (aeronautics); The Internet","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":[0.0008903718,0.001922168,0.001558428,0.005519247,0.0009673905,0.002944694,0.002790357,0.001912671,0.1702586],"category_scores_gemma":[0.006405344,0.0008584968,0.001319461,0.01163848,0.0003900944,0.002748701,0.002641337,0.00201574,0.2560313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586106,"about_ca_system_score_gemma":0.002331299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02048559,"about_ca_topic_score_gemma":0.03493783,"domain_scores_codex":[0.9989303,0.0001382577,0.0001456754,0.0003818482,0.0002344887,0.0001694664],"domain_scores_gemma":[0.9975719,0.0006361736,0.0002262725,0.000635443,0.0006648838,0.0002652465],"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":[0.00002448384,0.000008933897,0.0003835802,0.0005393685,0.00001463749,0.00001332168,0.00002127909,0.0001168572,0.00007506867,0.0003497851,0.9967479,0.001704917],"study_design_scores_gemma":[0.000053755,0.000007320555,0.001612756,0.0001824653,0.00001295708,0.00003308823,0.00007014178,0.0001562798,0.0001398111,0.0007411975,0.9969748,0.00001534174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003682531,0.00002964256,0.00004769865,0.00003461646,0.00001211097,0.000004914516,0.9988095,0.0003840509,0.0006406981],"genre_scores_gemma":[0.0001410508,0.00003715817,0.0001922406,0.00003888828,0.00000383156,0.00003828194,0.9988849,0.0001376291,0.000526102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297414,"threshold_uncertainty_score":0.5695717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}