{"id":"W6943022425","doi":"10.15468/dl.a6mzud","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009691566,0.001947805,0.00153827,0.004944604,0.001074022,0.002826643,0.002873245,0.001809662,0.2145907],"category_scores_gemma":[0.005934633,0.001004163,0.001135452,0.009489697,0.0004487207,0.002514818,0.002895299,0.002004794,0.3011339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874724,"about_ca_system_score_gemma":0.0026139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02998819,"about_ca_topic_score_gemma":0.050109,"domain_scores_codex":[0.9990703,0.0001142031,0.00009944693,0.0003099215,0.0002360078,0.0001700387],"domain_scores_gemma":[0.9977424,0.0005711257,0.000186377,0.0005831543,0.0006573786,0.0002595227],"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":[0.00001998119,0.000007694873,0.000270832,0.0003932352,0.00001019009,0.00001084979,0.00002073752,0.00008505268,0.00008116805,0.0003638262,0.9973432,0.001393263],"study_design_scores_gemma":[0.0000480615,0.000004858467,0.001305199,0.0001694179,0.00001019872,0.00002595141,0.00006060879,0.0001091051,0.0001577829,0.0007811032,0.9973128,0.00001493253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002785603,0.00002168298,0.0000494968,0.00003285875,0.00001055727,0.000005110968,0.9984433,0.000482344,0.0009266942],"genre_scores_gemma":[0.0001500614,0.00003657481,0.0002463521,0.00004961982,0.000003551542,0.00004583494,0.9984938,0.000264844,0.0007093546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7854093,"threshold_uncertainty_score":0.7178776,"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."}}