{"id":"W6962071322","doi":"10.15468/dl.mvqsmi","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); Range (aeronautics); Order (exchange)","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":[0.001040291,0.001866388,0.001605288,0.006271299,0.000974481,0.002674035,0.00278996,0.001843856,0.189001],"category_scores_gemma":[0.006550656,0.0008838181,0.001110381,0.01189672,0.0004273085,0.002468467,0.002936106,0.001988047,0.2583545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522752,"about_ca_system_score_gemma":0.002551092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023773,"about_ca_topic_score_gemma":0.03678763,"domain_scores_codex":[0.9988293,0.0001526572,0.0001502033,0.0003912808,0.0002785071,0.0001980747],"domain_scores_gemma":[0.9971721,0.0007087754,0.0002790912,0.0007225087,0.0007683038,0.0003492996],"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":[0.0000243609,0.000008280099,0.0003163348,0.0004864538,0.00001304451,0.00001192275,0.00002154846,0.00008287648,0.00009042596,0.0003626391,0.9971495,0.001432677],"study_design_scores_gemma":[0.00005043331,0.000006124466,0.001552561,0.0001741091,0.00001193793,0.00002900514,0.00006068041,0.00008561064,0.0001414342,0.0006574972,0.9972161,0.00001464539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003313379,0.000026964,0.00004158938,0.00003180795,0.00001118637,0.000004970782,0.9988066,0.0003396464,0.0007040974],"genre_scores_gemma":[0.0001402096,0.00003614491,0.0001916502,0.00004307721,0.000003908791,0.00003953662,0.9988425,0.0001618252,0.0005411741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.810999,"threshold_uncertainty_score":0.6322713,"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."}}