{"id":"W6905866428","doi":"10.15468/dl.j8xrzs","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":[0.0009521759,0.001924383,0.001610315,0.005073654,0.0009841424,0.002548915,0.002830992,0.001964191,0.16191],"category_scores_gemma":[0.005724311,0.0008778977,0.0011809,0.0100002,0.0004338645,0.002236736,0.002531476,0.0018875,0.219017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598176,"about_ca_system_score_gemma":0.002435069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02483219,"about_ca_topic_score_gemma":0.04024234,"domain_scores_codex":[0.998974,0.0001314684,0.0001352929,0.0003530058,0.0002278456,0.0001784586],"domain_scores_gemma":[0.9977136,0.0006288813,0.0002183954,0.0005839951,0.0005800329,0.0002751099],"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":[0.00003034406,0.00001032302,0.0003577023,0.0005614434,0.00001587215,0.00001551403,0.00002337255,0.0001175951,0.0001255935,0.0003940829,0.9969231,0.001424924],"study_design_scores_gemma":[0.00006828408,0.000007705157,0.001814665,0.0001936433,0.00001550595,0.00003782018,0.00006715283,0.0001338263,0.0001985018,0.000706316,0.9967391,0.00001752637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003850346,0.00002727978,0.00004193613,0.00003088875,0.00001059196,0.000004770237,0.9988669,0.0003649323,0.0006142175],"genre_scores_gemma":[0.0001506468,0.00003216268,0.0001688362,0.00004090354,0.000003164245,0.00003412017,0.9990191,0.0001346442,0.0004162916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380899,"threshold_uncertainty_score":0.541643,"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."}}