{"id":"W6887068357","doi":"10.15468/dl.sfs7wo","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); Information system; Confidentiality","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":[0.0009125277,0.001934376,0.001645992,0.005795159,0.0009768542,0.002651658,0.002769726,0.001895226,0.1580685],"category_scores_gemma":[0.006104759,0.000863486,0.001159818,0.01140159,0.0004158252,0.002396635,0.002710037,0.001980295,0.2252071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580961,"about_ca_system_score_gemma":0.002483281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261517,"about_ca_topic_score_gemma":0.0413231,"domain_scores_codex":[0.9989341,0.0001350792,0.000133774,0.0003707358,0.0002447177,0.0001816546],"domain_scores_gemma":[0.9974228,0.0006484017,0.0002496858,0.0006749186,0.0006823597,0.0003218449],"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":[0.00002519299,0.00000933752,0.0003644524,0.0005118392,0.00001542046,0.00001315112,0.00002155748,0.0001099536,0.0000982576,0.0003572642,0.9971001,0.001373557],"study_design_scores_gemma":[0.00005974426,0.000007394297,0.001769212,0.0001834525,0.00001445858,0.00003361804,0.00006817135,0.0001310474,0.0001524233,0.0007073492,0.9968576,0.00001545002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003726191,0.00002887891,0.00003905193,0.0000316184,0.00001134212,0.000004465277,0.9989223,0.0003397328,0.0005853772],"genre_scores_gemma":[0.0001358433,0.00003377831,0.0001686266,0.00003525019,0.00000327298,0.00003177557,0.9990246,0.000123521,0.0004432656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8419315,"threshold_uncertainty_score":0.5287918,"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."}}