{"id":"W6943674076","doi":"10.15468/dl.ttj4jm","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); Real world data","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":[0.001144905,0.002022483,0.001689009,0.00539834,0.001098405,0.002750371,0.003013787,0.002076972,0.1658669],"category_scores_gemma":[0.006646816,0.0009786385,0.001178079,0.01061059,0.0004716763,0.002419367,0.002669204,0.002107854,0.2287334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749009,"about_ca_system_score_gemma":0.002593786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02439661,"about_ca_topic_score_gemma":0.03939325,"domain_scores_codex":[0.9988292,0.0001537081,0.0001527268,0.0004030424,0.0002712003,0.0001900947],"domain_scores_gemma":[0.9972537,0.0007791006,0.0002575786,0.0007065812,0.0006961311,0.000306798],"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":[0.00002640677,0.00001027437,0.0003311739,0.0005168884,0.00001440995,0.0000141897,0.00002308995,0.0001118096,0.0001060957,0.0003796902,0.9971671,0.001298947],"study_design_scores_gemma":[0.00006384419,0.000006676736,0.001680207,0.0001837835,0.00001365442,0.00003448684,0.00006748147,0.0001258663,0.0001738093,0.0007140233,0.9969189,0.00001724399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003337637,0.00002424198,0.00004406168,0.00003202949,0.00001066208,0.000004792509,0.9988872,0.0003438675,0.0006197055],"genre_scores_gemma":[0.000137649,0.00003137772,0.0001855479,0.00004019127,0.000003055432,0.00004022985,0.9989781,0.0001499134,0.000433947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8341331,"threshold_uncertainty_score":0.5548799,"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."}}