{"id":"W6924643405","doi":"10.15468/dl.mdk5jt","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.001063064,0.001905517,0.001590704,0.004941365,0.001051021,0.002595759,0.002853054,0.002208172,0.1550376],"category_scores_gemma":[0.006041807,0.0009162059,0.001274114,0.009584892,0.0004735297,0.002269639,0.002597772,0.002071178,0.2236674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602215,"about_ca_system_score_gemma":0.002374185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212409,"about_ca_topic_score_gemma":0.03457241,"domain_scores_codex":[0.998904,0.0001501962,0.00013572,0.0003825452,0.0002411688,0.0001863673],"domain_scores_gemma":[0.9973741,0.0007509288,0.000233671,0.0007085202,0.0006298459,0.0003030857],"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":[0.00002841257,0.00001284143,0.0003814494,0.0005009538,0.00001412491,0.00001492585,0.00002328171,0.0001216617,0.0001227682,0.0003573574,0.9970486,0.001373663],"study_design_scores_gemma":[0.00007198918,0.000009349073,0.002017691,0.0001981296,0.00001490966,0.00003781225,0.00007922346,0.0001505905,0.0002002062,0.0007513506,0.9964503,0.00001842265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004596349,0.00002594486,0.00004164658,0.00003689975,0.00001279341,0.000005646695,0.9988507,0.0003515826,0.0006287472],"genre_scores_gemma":[0.0001547787,0.00003020115,0.0001871474,0.00004346262,0.000003360833,0.00004299532,0.9989624,0.0001283456,0.0004472602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449624,"threshold_uncertainty_score":0.5186526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}