{"id":"W6961768614","doi":"10.15468/dl.vcfg1p","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); Identification (biology); State (computer science)","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":[0.0009579358,0.00190016,0.001547675,0.004850098,0.0009542815,0.002399393,0.002746339,0.001972237,0.1453749],"category_scores_gemma":[0.005794969,0.0008661044,0.001164277,0.009509847,0.000438667,0.002304801,0.002528663,0.001982995,0.2105742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516469,"about_ca_system_score_gemma":0.002304465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212255,"about_ca_topic_score_gemma":0.03523321,"domain_scores_codex":[0.9990122,0.0001338706,0.0001247124,0.0003393405,0.000222467,0.0001673844],"domain_scores_gemma":[0.9976165,0.0006593663,0.0002325634,0.0006337466,0.0005759129,0.0002818409],"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":[0.00002896239,0.00001074425,0.0003865491,0.0005277844,0.0000152554,0.00001433446,0.00002486698,0.0001256741,0.000119252,0.0003839464,0.9969196,0.001442906],"study_design_scores_gemma":[0.00006285503,0.000007659712,0.001812229,0.0001914596,0.00001416651,0.00003518814,0.00007073265,0.0001526056,0.0001930002,0.0007593852,0.996684,0.00001665508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004312558,0.00002892783,0.00004631559,0.0000356127,0.00001231505,0.000004965993,0.9987783,0.0004074892,0.000642975],"genre_scores_gemma":[0.0001634088,0.00003339029,0.000193653,0.00004325403,0.000003296666,0.000037023,0.9989342,0.000148848,0.0004429577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546251,"threshold_uncertainty_score":0.4863274,"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."}}