{"id":"W6943667489","doi":"10.15468/dl.y6tmdk","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); Data collection; 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":[0.001097392,0.001916201,0.001630813,0.005076541,0.001048479,0.002649118,0.002891901,0.00207562,0.1640046],"category_scores_gemma":[0.006381188,0.0009494269,0.001128714,0.009941904,0.0004555139,0.002373788,0.002598345,0.002067583,0.2218805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616965,"about_ca_system_score_gemma":0.002366783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02119568,"about_ca_topic_score_gemma":0.0355212,"domain_scores_codex":[0.9989058,0.0001436335,0.0001426925,0.0003790953,0.0002525929,0.000176308],"domain_scores_gemma":[0.9974491,0.0007329212,0.000239107,0.000653321,0.0006380985,0.0002874649],"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":[0.00002767564,0.00001114758,0.0003615465,0.0005229985,0.0000144604,0.00001504205,0.00002402704,0.0001196932,0.0001216434,0.0004070687,0.9969929,0.001381718],"study_design_scores_gemma":[0.00006670881,0.000007094911,0.001743058,0.000188183,0.00001402605,0.000036065,0.00007179671,0.0001387601,0.0001872303,0.0007533596,0.9967759,0.00001784508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003856916,0.00002450266,0.00004717209,0.00003452929,0.00001154541,0.000004861181,0.9988362,0.0003530482,0.0006495538],"genre_scores_gemma":[0.0001570259,0.00003121309,0.0002018313,0.00004139017,0.000003240129,0.00004114914,0.9989126,0.0001585992,0.0004529376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359954,"threshold_uncertainty_score":0.54865,"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."}}