{"id":"W6943260381","doi":"10.15468/dl.acmg7b","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); Biodiversity; 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":[0.001103204,0.001804927,0.001587378,0.00542985,0.0009592737,0.002636763,0.002811105,0.001951077,0.2149993],"category_scores_gemma":[0.006443353,0.0009761168,0.001161542,0.01009705,0.0004377033,0.002499795,0.002932471,0.001955561,0.2673084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161237,"about_ca_system_score_gemma":0.002580821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02149077,"about_ca_topic_score_gemma":0.03729788,"domain_scores_codex":[0.9989226,0.0001398469,0.0001371781,0.0003785714,0.0002342216,0.0001874431],"domain_scores_gemma":[0.9972399,0.000739139,0.0002563104,0.000704609,0.0007182208,0.0003417237],"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":[0.00002790609,0.000008058852,0.000290031,0.0005843634,0.0000144051,0.00001190536,0.00002124961,0.00009384631,0.0001232927,0.0003894539,0.9970046,0.001430918],"study_design_scores_gemma":[0.00006265492,0.000006914976,0.001534585,0.000210984,0.00001413219,0.00002884102,0.0000597455,0.00009421634,0.0001790637,0.000747751,0.9970438,0.00001724248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002737674,0.00002292619,0.00004062518,0.00002902346,0.00001035892,0.000005116207,0.9989047,0.0003202594,0.0006396334],"genre_scores_gemma":[0.000143616,0.00003767525,0.0002036693,0.00005182443,0.000003594187,0.00004352242,0.9988127,0.0001783725,0.0005250776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7850007,"threshold_uncertainty_score":0.7192442,"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."}}