{"id":"W6887052946","doi":"10.15468/dl.pyk5lj","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":"Matching (statistics); Download; Property (philosophy); Range (aeronautics); Set (abstract data type); Data set","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":[0.001013985,0.001944748,0.001556071,0.005778923,0.0009277071,0.002524123,0.002821542,0.00187532,0.1566788],"category_scores_gemma":[0.005926033,0.0008578117,0.001201737,0.01070272,0.0004274089,0.002474675,0.002849514,0.001996826,0.2420024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530486,"about_ca_system_score_gemma":0.002476491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01892621,"about_ca_topic_score_gemma":0.03304529,"domain_scores_codex":[0.9988556,0.0001519921,0.0001480497,0.0003866727,0.0002621154,0.0001956789],"domain_scores_gemma":[0.9973798,0.0006198434,0.0002508644,0.0007475712,0.0006862985,0.0003155845],"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":[0.00002790684,0.000009926537,0.0003305999,0.0005181456,0.00001474522,0.00001309415,0.00002079195,0.0001038787,0.0001177963,0.000365949,0.9969398,0.001537372],"study_design_scores_gemma":[0.00005699018,0.000007624657,0.001759505,0.0001839532,0.00001317098,0.00003355175,0.00006129631,0.0001151272,0.0001825819,0.0007132335,0.996857,0.0000158826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004271623,0.00003178636,0.00004684513,0.00003581603,0.00001263911,0.000006097227,0.9986913,0.0004250557,0.000707921],"genre_scores_gemma":[0.0001489494,0.00003632976,0.0001890171,0.00004328488,0.000003689133,0.00003656605,0.9989395,0.0001393815,0.0004634185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8433213,"threshold_uncertainty_score":0.5241426,"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."}}