{"id":"W6887378465","doi":"10.15468/dl.zre7ew","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0008535368,0.00208073,0.001512687,0.004683689,0.0009911461,0.002408566,0.002750211,0.00192097,0.1477254],"category_scores_gemma":[0.005864765,0.0008793703,0.001262418,0.00911182,0.0004305304,0.002166757,0.002431124,0.001816958,0.2016977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626428,"about_ca_system_score_gemma":0.002391559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02588018,"about_ca_topic_score_gemma":0.04444337,"domain_scores_codex":[0.9989812,0.0001287801,0.0001344053,0.0003583394,0.0002320809,0.0001650856],"domain_scores_gemma":[0.9976946,0.0006460012,0.0002221221,0.000579674,0.0005995633,0.0002579952],"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":[0.00003164532,0.00001166145,0.0003954909,0.0005104051,0.00001440326,0.00001459668,0.00002188611,0.0001307759,0.0001089135,0.000370034,0.9968615,0.001528817],"study_design_scores_gemma":[0.00007997198,0.00001074097,0.001980528,0.0001910262,0.0000154764,0.00004233013,0.00006929114,0.0001907107,0.0001968603,0.000839395,0.9963644,0.00001933774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004923921,0.00003050796,0.00004531873,0.00003646008,0.00001241378,0.000005243513,0.9987001,0.0004539,0.0006667706],"genre_scores_gemma":[0.0001571586,0.00003354566,0.0002053028,0.00004511552,0.000003167208,0.00003562943,0.998896,0.0001423517,0.0004816889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8522745,"threshold_uncertainty_score":0.4941909,"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."}}