{"id":"W6887297631","doi":"10.15468/dl.wkye4u","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.001035469,0.001958745,0.001574569,0.004897633,0.0009706865,0.002514803,0.002754241,0.002118666,0.1449353],"category_scores_gemma":[0.005928045,0.0008712117,0.001232156,0.009602121,0.0004527943,0.00221917,0.002411973,0.002022639,0.2104324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585186,"about_ca_system_score_gemma":0.002292938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02171085,"about_ca_topic_score_gemma":0.03593024,"domain_scores_codex":[0.998917,0.0001550399,0.000136287,0.0003763767,0.0002430508,0.0001723968],"domain_scores_gemma":[0.9974093,0.0007705139,0.0002365069,0.0006836985,0.0006146729,0.000285272],"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":[0.00003034613,0.00001300282,0.0004052629,0.0005323731,0.00001560453,0.00001458301,0.00002258094,0.0001408515,0.0001201629,0.0003656437,0.9969026,0.001436941],"study_design_scores_gemma":[0.00007636658,0.0000099064,0.002195318,0.0002029919,0.00001593991,0.00003891169,0.00007652536,0.0001702428,0.0002054578,0.0008067453,0.996183,0.00001876624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004568477,0.00002787144,0.00004305495,0.0000357958,0.00001204987,0.0000050849,0.9989063,0.000339699,0.0005844334],"genre_scores_gemma":[0.0001591101,0.00003199559,0.0001798034,0.00004092818,0.000003383663,0.00003883493,0.9989881,0.0001208366,0.0004370398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8550647,"threshold_uncertainty_score":0.4848569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}