{"id":"W6943311732","doi":"10.15468/dl.kxcgsw","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":[0.0008817675,0.002080703,0.001463145,0.004649634,0.0009653391,0.002357855,0.002585459,0.00193804,0.1508367],"category_scores_gemma":[0.005450756,0.0008743235,0.00120834,0.009383996,0.0004324426,0.002126543,0.00239183,0.001821516,0.2106107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436319,"about_ca_system_score_gemma":0.002224901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016749,"about_ca_topic_score_gemma":0.03365482,"domain_scores_codex":[0.9990095,0.0001352093,0.0001228765,0.0003633939,0.0002038476,0.0001650867],"domain_scores_gemma":[0.9977629,0.0006364163,0.0002125962,0.0005900579,0.0005414562,0.0002566034],"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":[0.00003190649,0.00001218218,0.0003892092,0.0004834038,0.00001409229,0.00001395393,0.00001961193,0.0001295756,0.0001193216,0.000327867,0.9970244,0.001434526],"study_design_scores_gemma":[0.00008324707,0.00001148257,0.002039983,0.0001753597,0.00001564412,0.00003911078,0.00006905104,0.0001753485,0.0002084018,0.0008020844,0.996361,0.00001936266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005092851,0.00002724468,0.00004046644,0.00003442754,0.00001315827,0.000005222116,0.9988528,0.0003645138,0.0006112155],"genre_scores_gemma":[0.0001673741,0.00003231018,0.000188437,0.00004555815,0.000003805355,0.00004135252,0.9988981,0.0001343256,0.0004887103],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8491633,"threshold_uncertainty_score":0.5045991,"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."}}