{"id":"W6886922895","doi":"10.15468/dl.d2v7ra","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009957161,0.001969391,0.00149832,0.005186531,0.0009283469,0.002463599,0.002734928,0.0017067,0.1719263],"category_scores_gemma":[0.005861192,0.0008920017,0.001192072,0.009297653,0.0004364825,0.002165881,0.002771673,0.001718761,0.231542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658753,"about_ca_system_score_gemma":0.002469785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02580417,"about_ca_topic_score_gemma":0.04350203,"domain_scores_codex":[0.9990182,0.0001222226,0.0001299319,0.0003214142,0.0002251163,0.0001830883],"domain_scores_gemma":[0.9976101,0.0005756578,0.0002286775,0.0006325922,0.0006660987,0.0002868827],"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":[0.0000292631,0.000008876435,0.0003424009,0.000542692,0.00001437643,0.00001331621,0.00002140781,0.00009914536,0.0001121179,0.0003566761,0.9969797,0.001480009],"study_design_scores_gemma":[0.00006056787,0.000006803898,0.001832065,0.0002110481,0.00001356938,0.00003131466,0.00005930865,0.0001078058,0.000189307,0.0007081571,0.9967641,0.00001608562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002894124,0.00002050873,0.00003375603,0.00002563814,0.000008993923,0.000004756294,0.9989305,0.0003288788,0.000618041],"genre_scores_gemma":[0.0001387744,0.00003055127,0.0001716327,0.00004283686,0.000003021047,0.00003602993,0.9990074,0.0001438537,0.0004259362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8280737,"threshold_uncertainty_score":0.5751508,"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."}}