{"id":"W6962149099","doi":"10.15468/dl.s9arcv","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.00112385,0.002079537,0.0017105,0.005185808,0.001099025,0.002876284,0.003050315,0.00215233,0.1658859],"category_scores_gemma":[0.006467242,0.001016336,0.001243056,0.01023806,0.0004705763,0.002502125,0.00272124,0.00214172,0.2312505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666021,"about_ca_system_score_gemma":0.002478957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192062,"about_ca_topic_score_gemma":0.0365437,"domain_scores_codex":[0.9988142,0.0001596052,0.0001557507,0.0004175361,0.0002637982,0.0001890181],"domain_scores_gemma":[0.9973487,0.0007721607,0.0002464369,0.0007083637,0.0006211767,0.0003031407],"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":[0.00002925203,0.0000106994,0.0003593243,0.0005463995,0.00001567431,0.00001495781,0.00002456303,0.000118294,0.0001143509,0.0003846293,0.9970692,0.001312676],"study_design_scores_gemma":[0.00006842097,0.000007685161,0.001744842,0.0001932635,0.00001515858,0.00003758604,0.00007211095,0.0001443158,0.0001854713,0.0007621306,0.9967507,0.0000182871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003567006,0.00002484604,0.00004557264,0.00003152913,0.00001141656,0.000004593483,0.9988902,0.0003667499,0.0005894387],"genre_scores_gemma":[0.0001378943,0.00003078389,0.0001873175,0.00003952205,0.000003108131,0.00003730951,0.9989888,0.0001526359,0.0004226202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8341141,"threshold_uncertainty_score":0.5549437,"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."}}