{"id":"W6962483654","doi":"10.15468/dl.tfhmpp","title":"Occurrence Download","year":2016,"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":[0.0010627,0.002137379,0.001697786,0.005458436,0.0009698767,0.002791244,0.003109365,0.002184694,0.132816],"category_scores_gemma":[0.006235353,0.0009143885,0.001255651,0.01037789,0.0004582349,0.002538379,0.00274463,0.002101346,0.2043063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745391,"about_ca_system_score_gemma":0.002530065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294139,"about_ca_topic_score_gemma":0.03516844,"domain_scores_codex":[0.9988042,0.0001568737,0.0001577237,0.0004158985,0.0002724576,0.0001928836],"domain_scores_gemma":[0.9975242,0.0006592304,0.0002474029,0.0006761643,0.0005989124,0.0002939709],"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":[0.00003004853,0.00001181022,0.0003971633,0.0005141178,0.00001643786,0.00001546496,0.00002290521,0.0001372189,0.0001119149,0.0003932206,0.9969634,0.001386186],"study_design_scores_gemma":[0.00007455698,0.000008261545,0.001897019,0.0001942854,0.00001545523,0.00004218741,0.00006967565,0.0001795553,0.0002015939,0.0008050104,0.9964942,0.00001812378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004476511,0.00003252932,0.00004560373,0.00003811036,0.00001252562,0.000005086787,0.9988188,0.0004125228,0.0005899331],"genre_scores_gemma":[0.0001472161,0.00003361941,0.0001597462,0.000037561,0.000003117025,0.00003207901,0.9990634,0.0001241444,0.0003991436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.867184,"threshold_uncertainty_score":0.4443139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}