{"id":"W6905834181","doi":"10.15468/dl.w6be7u","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":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Software","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":[0.0009369249,0.001999195,0.001578191,0.004965033,0.0009704401,0.002378012,0.00280958,0.001993808,0.1431212],"category_scores_gemma":[0.005393015,0.0009104872,0.001171828,0.009967817,0.0004485563,0.002140569,0.002510416,0.002003077,0.2052495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016196,"about_ca_system_score_gemma":0.002308069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02504343,"about_ca_topic_score_gemma":0.04063473,"domain_scores_codex":[0.99903,0.000124596,0.0001241062,0.0003321634,0.0002276471,0.0001616342],"domain_scores_gemma":[0.9977887,0.0006109253,0.0002144185,0.0005790532,0.0005514246,0.0002554655],"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":[0.00002866627,0.00001172084,0.0004024714,0.0005390086,0.0000156643,0.00001649058,0.0000283863,0.0001427156,0.0001400765,0.0004193716,0.9967294,0.001526105],"study_design_scores_gemma":[0.00006603177,0.000007259067,0.001914638,0.0001746386,0.00001410126,0.00003756279,0.0000761645,0.0001501643,0.0001971773,0.0007012967,0.9966434,0.00001756337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004686044,0.00002602996,0.00004922862,0.00003361396,0.0000114782,0.00000494133,0.9987748,0.0004133622,0.0006397368],"genre_scores_gemma":[0.0001581631,0.00003016345,0.0001963319,0.00003792191,0.000002907384,0.00003672592,0.9989618,0.0001558869,0.0004201244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8568788,"threshold_uncertainty_score":0.4787883,"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."}}