{"id":"W6924262599","doi":"10.15468/dl.j4arrg","title":"Occurrence Download","year":2025,"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); Data set; Set (abstract data type)","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":[0.0009239867,0.001979302,0.00157091,0.005191756,0.001027023,0.002616301,0.00277268,0.002087393,0.1742081],"category_scores_gemma":[0.005984203,0.0009066314,0.001199813,0.009814714,0.0004383891,0.002390785,0.002577747,0.0020061,0.2312772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729762,"about_ca_system_score_gemma":0.002432409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02605891,"about_ca_topic_score_gemma":0.04090291,"domain_scores_codex":[0.9989694,0.0001335785,0.0001301848,0.000356457,0.0002325035,0.000177976],"domain_scores_gemma":[0.9976231,0.0006913365,0.0002159875,0.0005901739,0.0006032931,0.000276069],"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":[0.00002583123,0.000009948802,0.0003437312,0.0005067288,0.0000132568,0.00001481611,0.00002348314,0.0001118156,0.0001036188,0.0003765669,0.9971558,0.001314311],"study_design_scores_gemma":[0.0000656493,0.000007657352,0.001741815,0.0002062408,0.00001473226,0.00003871983,0.00007706734,0.0001486503,0.0001838078,0.0007651411,0.9967325,0.00001811446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000391271,0.00002838248,0.00004449654,0.00003737555,0.00001253555,0.000004939936,0.9987597,0.0003983136,0.0006750547],"genre_scores_gemma":[0.0001592149,0.00003639885,0.0001969442,0.00004960068,0.000003454059,0.00003827748,0.9988236,0.0001646415,0.0005278832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8257918,"threshold_uncertainty_score":0.5827843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}