{"id":"W6887287636","doi":"10.15468/dl.wiilh9","title":"Occurrence Download","year":2016,"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); Confidentiality; 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":[0.0008716447,0.002103694,0.001528903,0.005337876,0.001086797,0.002789041,0.003044309,0.002190535,0.1389811],"category_scores_gemma":[0.005940503,0.0009396918,0.001322497,0.01110684,0.0004353406,0.002628942,0.002667745,0.002307098,0.2104387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927635,"about_ca_system_score_gemma":0.002806516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0296563,"about_ca_topic_score_gemma":0.04987303,"domain_scores_codex":[0.9988888,0.0001487596,0.0001384519,0.0003968103,0.0002450569,0.0001820683],"domain_scores_gemma":[0.9976787,0.0006107659,0.0002018336,0.0006376267,0.0005998272,0.000271342],"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":[0.00002757249,0.00001103022,0.0003774982,0.0004604885,0.00001355764,0.00001537381,0.00002343618,0.0001209312,0.00009345587,0.0004223962,0.9970629,0.001371438],"study_design_scores_gemma":[0.00006397859,0.00000680797,0.001590096,0.0001703407,0.00001259072,0.00003930995,0.00007233681,0.000172206,0.0001639809,0.0008016365,0.9968907,0.00001599822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004943721,0.0000329681,0.00005174363,0.00004631391,0.00001276333,0.000005603378,0.9985317,0.0004725188,0.0007968891],"genre_scores_gemma":[0.0001550916,0.00003799497,0.0002010293,0.00004534826,0.000003005574,0.00003649859,0.9988488,0.0001485382,0.000523735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8610189,"threshold_uncertainty_score":0.4649382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}