{"id":"W6886971378","doi":"10.15468/dl.m5q2y7","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":"Download; Matching (statistics); 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":[0.0009864649,0.001765755,0.001537114,0.005507461,0.001102207,0.003030747,0.002813651,0.001962875,0.1978398],"category_scores_gemma":[0.006691086,0.0009473528,0.001261189,0.01093501,0.0004143323,0.002732019,0.002849637,0.002038372,0.263001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660682,"about_ca_system_score_gemma":0.002571251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01985166,"about_ca_topic_score_gemma":0.03330577,"domain_scores_codex":[0.9988475,0.0001509625,0.0001653378,0.0004047325,0.0002478008,0.0001836383],"domain_scores_gemma":[0.9973555,0.0007388606,0.0002290724,0.0007035185,0.0006955292,0.0002775739],"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":[0.00002707789,0.000009901089,0.0003870508,0.0006114797,0.00001432483,0.00001566427,0.00002706971,0.0001029448,0.000112096,0.0004474178,0.9964211,0.001823979],"study_design_scores_gemma":[0.00004439176,0.000005734525,0.00134197,0.0001728999,0.0000114929,0.00003189905,0.00006978098,0.0001013679,0.0001454854,0.0006729072,0.9973879,0.00001399672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003654311,0.00002861908,0.00005518023,0.00003929618,0.00001268337,0.000005694311,0.9985936,0.0004085562,0.000819808],"genre_scores_gemma":[0.0001568469,0.00004397986,0.0002534433,0.00005237836,0.000003911304,0.00004695721,0.9985986,0.0001876324,0.0006562467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8021601,"threshold_uncertainty_score":0.6618402,"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."}}