{"id":"W7109764093","doi":"10.15468/dl.3vbw9p","title":"Occurrence Download","year":2025,"lang":"","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 archive; Polygon (computer graphics)","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":[0.0007300322,0.002545421,0.002037099,0.006327873,0.00156146,0.004016463,0.002952656,0.002759421,0.2622511],"category_scores_gemma":[0.006220373,0.0009742489,0.001692641,0.01020243,0.0004412879,0.004447843,0.003603113,0.002550851,0.379148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777341,"about_ca_system_score_gemma":0.002531522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056862,"about_ca_topic_score_gemma":0.04476447,"domain_scores_codex":[0.9986997,0.0001472567,0.0001820802,0.0004494454,0.000313102,0.0002084552],"domain_scores_gemma":[0.9975458,0.0005889867,0.0001899102,0.0005815544,0.0007765082,0.0003171844],"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":[0.00004071087,0.00001412073,0.000348985,0.0006100914,0.00001190437,0.00002886183,0.00002347957,0.00009409596,0.0001088774,0.0004302691,0.9950941,0.003194581],"study_design_scores_gemma":[0.00004797953,0.00001085664,0.001036395,0.0001851536,0.00001155467,0.00006373694,0.00008625073,0.0002370449,0.000155937,0.001048481,0.997098,0.00001863789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009702937,0.0001371893,0.0001696333,0.0001070596,0.00004576285,0.00001489502,0.9943179,0.001954018,0.003156603],"genre_scores_gemma":[0.0003168159,0.0001104505,0.0005339516,0.0001177366,0.00001212587,0.00004804739,0.9968088,0.0004228449,0.001629241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7377489,"threshold_uncertainty_score":0.8773174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}