{"id":"W6924488685","doi":"10.15468/dl.qb9ujt","title":"Occurrence Download","year":2019,"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); Confidentiality; Set (abstract data type)","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":[0.0009200602,0.001947654,0.001616477,0.004901757,0.001013651,0.002672946,0.002840486,0.001944001,0.1642084],"category_scores_gemma":[0.006173695,0.0008688908,0.001223487,0.009463477,0.000443619,0.00233161,0.00263696,0.001962806,0.2277132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600751,"about_ca_system_score_gemma":0.002365783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02551866,"about_ca_topic_score_gemma":0.03950758,"domain_scores_codex":[0.9990026,0.0001321738,0.0001276053,0.0003519939,0.0002207168,0.0001650529],"domain_scores_gemma":[0.9976949,0.0006656943,0.0002029103,0.000595383,0.0005849485,0.0002561648],"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":[0.00002527587,0.000009358737,0.0003566138,0.0004932021,0.00001383968,0.00001456774,0.00002399387,0.0001141422,0.00009212092,0.0003440481,0.9971227,0.001390127],"study_design_scores_gemma":[0.00006103674,0.000007210479,0.001770606,0.0002068177,0.00001489894,0.00003859261,0.00007933309,0.0001646193,0.0001751112,0.0007973464,0.9966671,0.00001731198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004020977,0.00003199297,0.0000483244,0.00004014403,0.00001347243,0.000005202532,0.9987329,0.0004532031,0.0006346158],"genre_scores_gemma":[0.0001677686,0.00003916035,0.0002027833,0.00004645712,0.000003793024,0.00004168494,0.9988301,0.0001757259,0.0004925372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8357916,"threshold_uncertainty_score":0.5493319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}