{"id":"W6962441907","doi":"10.15468/dl.ud3g8x","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); Support vector machine","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":[0.0008108407,0.001816412,0.001359803,0.00440038,0.0008687257,0.002407592,0.002678292,0.001842123,0.1477679],"category_scores_gemma":[0.005415128,0.0008842137,0.001131844,0.009104848,0.0004104469,0.002149125,0.002366456,0.001844041,0.219782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592132,"about_ca_system_score_gemma":0.002285909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02407922,"about_ca_topic_score_gemma":0.04033971,"domain_scores_codex":[0.9991559,0.0001108357,0.0001097377,0.0002975007,0.0001875641,0.0001385356],"domain_scores_gemma":[0.998008,0.0005353051,0.0001820129,0.0005327474,0.0005086521,0.0002333489],"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":[0.00002494814,0.00001028536,0.0003735212,0.0004610101,0.00001212948,0.00001313442,0.00002196247,0.0001243402,0.00008718482,0.000341628,0.9970391,0.001490791],"study_design_scores_gemma":[0.00005986045,0.000007119599,0.001711802,0.0001655739,0.0000113761,0.00003376096,0.00007506042,0.0001698345,0.0001595407,0.0007085089,0.9968827,0.00001485389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000447319,0.00002815598,0.00004538072,0.00003933833,0.00001197956,0.000005559809,0.998687,0.000418413,0.0007195532],"genre_scores_gemma":[0.000169828,0.00003666657,0.000213828,0.00004296456,0.000003272443,0.00004173579,0.998798,0.0001405332,0.0005531246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.852232,"threshold_uncertainty_score":0.494333,"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."}}