{"id":"W6906139389","doi":"10.15468/dl.wku53t","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); 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":[0.000914138,0.002038122,0.001540261,0.004705042,0.001065209,0.002509798,0.002908746,0.002036401,0.1466279],"category_scores_gemma":[0.005842425,0.0008874743,0.001283447,0.009050324,0.0004519269,0.002313426,0.002635989,0.001992,0.206789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642391,"about_ca_system_score_gemma":0.002423366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773279,"about_ca_topic_score_gemma":0.04341773,"domain_scores_codex":[0.9990073,0.0001261852,0.0001238369,0.0003437588,0.0002337389,0.0001651192],"domain_scores_gemma":[0.9977409,0.0006188691,0.0001912963,0.0006204392,0.0005729748,0.0002556109],"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":[0.00002788676,0.00001080528,0.000372279,0.0004462518,0.0000134893,0.0000155207,0.0000227758,0.0001211518,0.0001062826,0.0003509215,0.9970847,0.001427968],"study_design_scores_gemma":[0.00007124837,0.000008435006,0.001953733,0.0001858062,0.00001460124,0.00004371013,0.00008413624,0.0001934098,0.0002043654,0.0007859312,0.9964366,0.00001803232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005081569,0.00003130389,0.00005594915,0.00004380314,0.00001386424,0.000005924025,0.9985304,0.0005641761,0.0007038104],"genre_scores_gemma":[0.0001710423,0.00003259098,0.0002113777,0.00004617399,0.000003357837,0.0000377496,0.9988795,0.000168685,0.0004496151],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533721,"threshold_uncertainty_score":0.4905192,"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."}}