{"id":"W6942972452","doi":"10.15468/dl.s5d7vh","title":"Occurrence Download","year":2022,"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","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":[0.001009746,0.002038938,0.001612134,0.005671381,0.001039254,0.002683336,0.00284711,0.002016409,0.1669635],"category_scores_gemma":[0.00603454,0.0009432332,0.001201938,0.01047058,0.0004630267,0.002350248,0.002829944,0.002031893,0.236648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614108,"about_ca_system_score_gemma":0.002549703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297405,"about_ca_topic_score_gemma":0.0385303,"domain_scores_codex":[0.9988543,0.0001448027,0.000145243,0.0003887194,0.0002696422,0.0001972504],"domain_scores_gemma":[0.9973678,0.0006926088,0.0002529217,0.0006819112,0.0006851033,0.0003197279],"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":[0.00003107363,0.00001065436,0.000351007,0.0005739214,0.00001515728,0.0000152458,0.00002390689,0.000106614,0.0001364363,0.0003847602,0.9969524,0.001398884],"study_design_scores_gemma":[0.00006258365,0.000007344618,0.001714623,0.0001835127,0.0000140023,0.00003419855,0.00006447194,0.0001066355,0.0001915339,0.0006812764,0.9969226,0.00001730753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003649291,0.0000245923,0.00003916414,0.00003042823,0.00001064668,0.000004959968,0.9988715,0.000349259,0.0006329198],"genre_scores_gemma":[0.0001430925,0.00003312471,0.0001769065,0.00004332589,0.000003267782,0.00003790895,0.998948,0.0001532206,0.0004611205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8330364,"threshold_uncertainty_score":0.5585487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}