{"id":"W6962119902","doi":"10.15468/dl.vd2w7n","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":[0.0009334632,0.001983867,0.001551179,0.004763882,0.0009785594,0.002517579,0.002638016,0.001927003,0.1636745],"category_scores_gemma":[0.006296599,0.0008948126,0.001191083,0.00969503,0.0004283597,0.002226385,0.002489437,0.001856864,0.2101993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523358,"about_ca_system_score_gemma":0.002309968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115769,"about_ca_topic_score_gemma":0.03394443,"domain_scores_codex":[0.9989975,0.0001376883,0.0001246953,0.0003625285,0.0002135285,0.000164017],"domain_scores_gemma":[0.9976479,0.0007129041,0.0002187139,0.0005804611,0.0005857297,0.0002542486],"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":[0.00003142224,0.00001120327,0.0003971658,0.0005867179,0.00001481534,0.0000148173,0.00002271593,0.0001309476,0.0001192193,0.0003740064,0.9968509,0.001446114],"study_design_scores_gemma":[0.00007587046,0.000009754635,0.001858316,0.0002030174,0.00001521873,0.00003626371,0.00006882386,0.0001600215,0.0001906959,0.0008349293,0.9965284,0.00001865555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004164417,0.00002691849,0.00004143306,0.00003492023,0.00001164627,0.000005122743,0.9988575,0.0003746722,0.0006061587],"genre_scores_gemma":[0.0001685698,0.00003712896,0.0002063658,0.00004985253,0.000003694664,0.00004715889,0.99883,0.000163226,0.0004940993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8363255,"threshold_uncertainty_score":0.5475458,"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."}}