{"id":"W6943363846","doi":"10.15468/dl.q9u3cs","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); Species name","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":[0.001122231,0.001939807,0.001735557,0.005527432,0.001053369,0.002905334,0.003038081,0.002069024,0.1722042],"category_scores_gemma":[0.006845771,0.0009985099,0.001217903,0.01114398,0.0004644954,0.002512094,0.002729776,0.002071913,0.2341925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582014,"about_ca_system_score_gemma":0.002407823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201607,"about_ca_topic_score_gemma":0.0320758,"domain_scores_codex":[0.9988157,0.000162105,0.0001582757,0.000414741,0.0002604745,0.0001887408],"domain_scores_gemma":[0.9972429,0.0008008265,0.0002567608,0.0007227579,0.0006802839,0.0002965078],"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":[0.0000288284,0.00001025804,0.0003596635,0.0005975169,0.00001669528,0.00001488016,0.00002509793,0.0001194425,0.0001153884,0.000403439,0.9968528,0.001455983],"study_design_scores_gemma":[0.00006300778,0.000007010974,0.001634109,0.0002036863,0.00001527796,0.00003512685,0.00007219127,0.0001247222,0.0001676424,0.0007635272,0.9968964,0.00001739312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003512723,0.00002790935,0.00004633046,0.00003363478,0.00001150773,0.000004644542,0.998896,0.0003508904,0.000593935],"genre_scores_gemma":[0.0001477493,0.00003709327,0.0001970893,0.0000423599,0.000003360627,0.00003999391,0.9989202,0.000165078,0.0004471679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277958,"threshold_uncertainty_score":0.5760804,"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."}}