{"id":"W6887108218","doi":"10.15468/dl.r7s5nf","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009385755,0.002202108,0.001402075,0.004614278,0.001021954,0.002320192,0.002886659,0.001944438,0.111196],"category_scores_gemma":[0.006113938,0.0008694201,0.001283472,0.008509666,0.0004584792,0.002196888,0.002412571,0.001987164,0.1718348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668222,"about_ca_system_score_gemma":0.002466605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02507831,"about_ca_topic_score_gemma":0.04190556,"domain_scores_codex":[0.9988841,0.0001461081,0.0001511892,0.0003832535,0.0002664791,0.000168728],"domain_scores_gemma":[0.9975809,0.0006355154,0.0002147749,0.0006666925,0.0006341668,0.0002679321],"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":[0.0000302884,0.00001318699,0.0003557213,0.0003899776,0.00001269422,0.00001501197,0.00002085113,0.0001294747,0.0001117361,0.0003641195,0.9971112,0.001445666],"study_design_scores_gemma":[0.00008610347,0.0000108179,0.001826747,0.0001516794,0.00001373961,0.000049739,0.00007553398,0.000263967,0.000236591,0.0008776793,0.996389,0.00001854651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007133383,0.00003461068,0.00006803321,0.00005204595,0.00001620729,0.0000079641,0.9982038,0.0007467317,0.0007993861],"genre_scores_gemma":[0.0001784525,0.00003276659,0.0002655822,0.00004982077,0.00000364218,0.00004097402,0.9988127,0.0001699886,0.000446088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.888804,"threshold_uncertainty_score":0.3719877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761864349018661,"score_gpt":0.2888078212483628,"score_spread":0.2511891777581762,"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."}}