{"id":"W6887033858","doi":"10.15468/dl.k7mvhc","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0008874353,0.001991767,0.001475755,0.004694247,0.000930711,0.002356969,0.002558853,0.001895719,0.1591682],"category_scores_gemma":[0.00564097,0.0008712781,0.001197481,0.009415885,0.0004295855,0.002107854,0.002442247,0.001776266,0.2129913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420391,"about_ca_system_score_gemma":0.002206858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025653,"about_ca_topic_score_gemma":0.03284764,"domain_scores_codex":[0.999029,0.0001302283,0.0001231661,0.0003508085,0.0002007394,0.0001659953],"domain_scores_gemma":[0.9977464,0.0006484812,0.0002153285,0.0005802083,0.0005515649,0.0002580765],"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":[0.00003292923,0.0000120568,0.0004194233,0.000539918,0.00001475188,0.00001474848,0.00002105801,0.0001420043,0.0001286078,0.0003530859,0.9967856,0.001535776],"study_design_scores_gemma":[0.00007900762,0.00001124861,0.001997264,0.0001851515,0.00001569567,0.00003805718,0.0000688865,0.0001699619,0.0002036931,0.0007940081,0.9964182,0.00001886614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004899988,0.00002633894,0.00004093578,0.00003316769,0.00001270043,0.000005058759,0.9988468,0.0003734674,0.0006124299],"genre_scores_gemma":[0.0001691973,0.00003372866,0.0001917919,0.00004567768,0.000003592848,0.00004062018,0.9989016,0.0001425159,0.0004711529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8408318,"threshold_uncertainty_score":0.5324708,"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."}}