{"id":"W6962263058","doi":"10.15468/dl.sejyts","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); Column (typography)","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":[0.001038888,0.001976589,0.001661972,0.005102521,0.0009567487,0.00263294,0.002781417,0.002121721,0.1528416],"category_scores_gemma":[0.006302118,0.0008932869,0.001158646,0.01001858,0.0004448305,0.002327674,0.002430301,0.001959971,0.2053244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612619,"about_ca_system_score_gemma":0.002269612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148913,"about_ca_topic_score_gemma":0.03461749,"domain_scores_codex":[0.9989488,0.000147106,0.0001394998,0.0003626059,0.0002344588,0.0001676655],"domain_scores_gemma":[0.9975966,0.0007178989,0.0002369001,0.0005878661,0.0005799482,0.0002807903],"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":[0.0000312183,0.00001158273,0.000375615,0.0005883917,0.00001649505,0.00001598988,0.0000238545,0.000142602,0.0001111377,0.0004006952,0.996873,0.001409385],"study_design_scores_gemma":[0.0000824702,0.000008535478,0.001851474,0.0002112222,0.00001549209,0.00003775818,0.00007284802,0.0001641386,0.0001743668,0.000864174,0.9964993,0.00001828076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003691317,0.00002743083,0.00003962585,0.00003271374,0.000009846643,0.00000466602,0.9989836,0.0003129438,0.0005522674],"genre_scores_gemma":[0.0001589028,0.00003345281,0.0001850749,0.00004331031,0.000003152727,0.00003818511,0.9990109,0.0001261409,0.000400935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8471584,"threshold_uncertainty_score":0.511306,"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."}}