{"id":"W6943240591","doi":"10.15468/dl.apumhm","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","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":[0.000967921,0.001942807,0.001581249,0.005248281,0.0009393414,0.002569488,0.002722883,0.001908079,0.154726],"category_scores_gemma":[0.005575879,0.0008901822,0.001187644,0.009780393,0.0004357782,0.002188802,0.002597465,0.00187183,0.2177168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145387,"about_ca_system_score_gemma":0.002222944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907886,"about_ca_topic_score_gemma":0.03149569,"domain_scores_codex":[0.9989476,0.0001384895,0.0001399449,0.0003606705,0.0002331882,0.0001801593],"domain_scores_gemma":[0.9976222,0.0006090173,0.0002351863,0.0006574756,0.0005865878,0.0002894914],"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":[0.00003374946,0.00001184458,0.0004019199,0.0005959225,0.00001748818,0.00001637218,0.00002407312,0.0001179994,0.0001474411,0.0003905324,0.9966686,0.001574008],"study_design_scores_gemma":[0.00007204468,0.000008684866,0.002019284,0.0001875186,0.0000154906,0.00003996681,0.0000665901,0.0001279306,0.00021236,0.0007241365,0.9965083,0.00001760885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004415983,0.0000281028,0.0000416836,0.00003062484,0.00001124582,0.000005211154,0.9988304,0.0003834981,0.0006251089],"genre_scores_gemma":[0.0001527088,0.00003144304,0.0001733521,0.00004066206,0.000003295319,0.00003610514,0.9990214,0.0001361434,0.0004048263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.845274,"threshold_uncertainty_score":0.5176101,"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."}}