{"id":"W6887029924","doi":"10.15468/dl.p6xevv","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); Range (aeronautics); Species name","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":[0.001031095,0.001926865,0.001512263,0.005068037,0.0009963989,0.00246561,0.002796953,0.002126618,0.1453522],"category_scores_gemma":[0.006091081,0.0008645436,0.001175881,0.009684004,0.0004475511,0.002213975,0.002488648,0.002006237,0.1981249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558195,"about_ca_system_score_gemma":0.002272516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031491,"about_ca_topic_score_gemma":0.03306135,"domain_scores_codex":[0.9989367,0.0001513675,0.0001354103,0.000374052,0.000230159,0.000172309],"domain_scores_gemma":[0.9974592,0.0007609451,0.0002465149,0.0006623541,0.0005797484,0.0002911908],"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":[0.00003179288,0.00001295136,0.0004289252,0.000560388,0.00001602515,0.00001623214,0.00002449597,0.0001444473,0.0001213325,0.0003896611,0.9968423,0.001411609],"study_design_scores_gemma":[0.00007989748,0.000009157544,0.002034686,0.0002010156,0.00001570621,0.00003982772,0.00007891854,0.0001767097,0.0001959352,0.0008442684,0.9963053,0.00001862713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004547361,0.00002614365,0.00004250885,0.00003623299,0.00001183737,0.000005156058,0.9988778,0.0003473616,0.0006075463],"genre_scores_gemma":[0.0001731168,0.00003165371,0.0001882079,0.00004472769,0.000003515351,0.00004238118,0.9989492,0.0001318459,0.0004354768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546478,"threshold_uncertainty_score":0.4862517,"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."}}