{"id":"W6924591168","doi":"10.15468/dl.ugc058","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); Context (archaeology); Work (physics)","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":[0.0008841517,0.001761348,0.001461341,0.005243035,0.000951337,0.002362014,0.002602408,0.001819749,0.1537666],"category_scores_gemma":[0.005922256,0.0008253554,0.001057153,0.01057997,0.0004153067,0.002249578,0.002413064,0.001832598,0.2102139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657085,"about_ca_system_score_gemma":0.002528485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02713649,"about_ca_topic_score_gemma":0.04671915,"domain_scores_codex":[0.9989513,0.0001377781,0.0001422611,0.0003613232,0.0002279626,0.0001793209],"domain_scores_gemma":[0.9974307,0.0006899969,0.0002436086,0.0006233787,0.0007115241,0.0003006914],"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":[0.00002799421,0.000009967828,0.0003904297,0.0005180037,0.00001356857,0.00001502517,0.00002380911,0.0001089375,0.0001041582,0.000384262,0.9970365,0.001367474],"study_design_scores_gemma":[0.00005892432,0.000006994991,0.001922802,0.0001910612,0.00001287873,0.0000341516,0.00007415321,0.0001210968,0.0001693812,0.0006910666,0.9967013,0.00001614682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000380676,0.00002489307,0.00003589066,0.00003101484,0.000009801756,0.00000475637,0.9989483,0.0002755374,0.0006318986],"genre_scores_gemma":[0.000159767,0.00003266754,0.0001600493,0.00004052666,0.000003103056,0.00003480733,0.9989912,0.0001132582,0.0004646156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8462334,"threshold_uncertainty_score":0.5144004,"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."}}