{"id":"W6905769032","doi":"10.15468/dl.qv8wfe","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; Context (archaeology)","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":[0.0009808658,0.001911693,0.001606858,0.005104139,0.001025703,0.00291365,0.002888725,0.00192993,0.192009],"category_scores_gemma":[0.006580165,0.0009718076,0.001229726,0.01076342,0.0004559602,0.002529561,0.002730877,0.002079024,0.2686853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616722,"about_ca_system_score_gemma":0.002473302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127323,"about_ca_topic_score_gemma":0.0338011,"domain_scores_codex":[0.9989493,0.000137786,0.0001396028,0.000376172,0.0002286111,0.0001684892],"domain_scores_gemma":[0.9975212,0.0007180891,0.0002134034,0.000660283,0.00061834,0.0002686291],"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":[0.00002527778,0.00000949655,0.000327771,0.0005572338,0.00001332105,0.00001342668,0.00002444953,0.0001072062,0.00009562963,0.0003938263,0.9968625,0.001569758],"study_design_scores_gemma":[0.00005199703,0.000005924696,0.001329871,0.000175895,0.00001162999,0.00003032613,0.00006872561,0.0001126995,0.000149183,0.0007356406,0.9973139,0.00001412072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003268812,0.00002679281,0.00004795554,0.00003573862,0.00001180321,0.000005271903,0.998722,0.000395176,0.0007225257],"genre_scores_gemma":[0.0001487027,0.00004157074,0.00022859,0.00004787259,0.000003681349,0.00004617616,0.9987046,0.0001892897,0.0005895979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.807991,"threshold_uncertainty_score":0.6423342,"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."}}