{"id":"W6943565078","doi":"10.15468/dl.zvtr4k","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); Data set; 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":[0.001054268,0.002009709,0.001789366,0.005870245,0.001000141,0.002753658,0.002893314,0.001973576,0.1712248],"category_scores_gemma":[0.006248355,0.0009507934,0.00122939,0.01155648,0.0004568334,0.002253393,0.002788699,0.001940586,0.2287906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655608,"about_ca_system_score_gemma":0.002576279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02470021,"about_ca_topic_score_gemma":0.03781158,"domain_scores_codex":[0.998868,0.0001476346,0.000150905,0.0003868182,0.0002557333,0.0001909376],"domain_scores_gemma":[0.9974349,0.0007116077,0.0002560917,0.0006636998,0.0006317757,0.0003019334],"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":[0.00003260204,0.000009814417,0.0003642483,0.0006670277,0.00001864937,0.00001558291,0.00002437206,0.0001184457,0.0001286477,0.0004047317,0.9967744,0.001441522],"study_design_scores_gemma":[0.00007197664,0.000007553493,0.00190684,0.0002179879,0.00001738496,0.00003795674,0.00006507194,0.00012155,0.0001927755,0.0007558728,0.9965864,0.00001843527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003162356,0.00002786516,0.00003713717,0.00002767802,0.000009396188,0.000004379955,0.9989728,0.0003411374,0.0005480379],"genre_scores_gemma":[0.000144808,0.00003643269,0.0001593409,0.00004000585,0.00000314628,0.00003535713,0.9990516,0.0001462476,0.0003830245],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287752,"threshold_uncertainty_score":0.572804,"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."}}