{"id":"W6887110958","doi":"10.15468/dl.mdp9ff","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); The Internet","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":[0.001134842,0.002027737,0.001684073,0.005415919,0.001086399,0.002881649,0.002972578,0.002073778,0.1789393],"category_scores_gemma":[0.00664492,0.001009281,0.001179496,0.01076023,0.0004650166,0.002519212,0.002694587,0.002095512,0.2495251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666436,"about_ca_system_score_gemma":0.002514473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234746,"about_ca_topic_score_gemma":0.03628959,"domain_scores_codex":[0.9988175,0.0001557741,0.0001533122,0.0004150625,0.0002711082,0.0001871258],"domain_scores_gemma":[0.9972733,0.0007752547,0.0002491708,0.0007198834,0.0006719711,0.0003104315],"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":[0.00002669858,0.000009742535,0.0003153258,0.000490776,0.00001381855,0.00001391872,0.00002301799,0.0001033338,0.0001069128,0.000380517,0.997221,0.001294827],"study_design_scores_gemma":[0.00006155793,0.000006386735,0.001545451,0.0001793836,0.00001320368,0.00003331879,0.00006573181,0.0001221323,0.0001702403,0.0007276185,0.9970586,0.000016403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003309262,0.00002387073,0.00004698299,0.00003200905,0.00001101481,0.000004750719,0.998823,0.0003717426,0.0006535274],"genre_scores_gemma":[0.0001355045,0.00003225049,0.0001934184,0.00004140539,0.000003173515,0.00003872827,0.9989008,0.0001771961,0.0004774932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8210608,"threshold_uncertainty_score":0.5986115,"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."}}