{"id":"W6887185811","doi":"10.15468/dl.tsjxrm","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Alien","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":[0.0009530636,0.002014474,0.00158732,0.005451492,0.0009735789,0.002801632,0.002849859,0.001901247,0.2027496],"category_scores_gemma":[0.006462678,0.0009985513,0.001278056,0.01121887,0.0004367168,0.002372949,0.002694915,0.001894329,0.2687623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653005,"about_ca_system_score_gemma":0.002607659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261794,"about_ca_topic_score_gemma":0.0351423,"domain_scores_codex":[0.9988989,0.0001473039,0.0001503543,0.0003944761,0.0002296399,0.0001794152],"domain_scores_gemma":[0.9974951,0.0007057281,0.0002321956,0.0006488177,0.0006552093,0.0002630215],"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":[0.00002757936,0.000008910929,0.0003215951,0.0005421858,0.00001320874,0.00001260459,0.00002193296,0.0001011495,0.00009270298,0.0003837465,0.9969596,0.001514864],"study_design_scores_gemma":[0.00005734571,0.000006694327,0.001296867,0.0001643046,0.00001329574,0.00002914505,0.00005772646,0.0001094413,0.0001553404,0.0007517976,0.9973422,0.00001583385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003187347,0.00002606382,0.00004400835,0.00003248926,0.00001088022,0.000004815977,0.9987331,0.000408912,0.0007078252],"genre_scores_gemma":[0.000153032,0.0000422339,0.0002249277,0.00004936198,0.000003724547,0.00004610086,0.9986175,0.000203475,0.0006596622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7972504,"threshold_uncertainty_score":0.6782649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}