{"id":"W7107857108","doi":"10.15468/dl.nfwp2f","title":"Occurrence Download","year":2025,"lang":"","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 archive; Polygon (computer graphics)","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":[0.0007407293,0.002535447,0.002012515,0.006151345,0.00154118,0.004004941,0.002951534,0.002738772,0.2627301],"category_scores_gemma":[0.006153462,0.0009737408,0.001704267,0.009830019,0.0004374656,0.004475169,0.003567543,0.002525135,0.3796103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757592,"about_ca_system_score_gemma":0.002466127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192944,"about_ca_topic_score_gemma":0.0419603,"domain_scores_codex":[0.9986883,0.0001483402,0.0001830109,0.0004552241,0.0003179953,0.0002072053],"domain_scores_gemma":[0.9975513,0.000580294,0.000187324,0.0005999537,0.0007628373,0.0003182977],"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":[0.0000402195,0.00001413692,0.0003410311,0.0005808282,0.0000117203,0.00002743851,0.00002225419,0.00009376041,0.0001097821,0.0004219098,0.9951234,0.003213426],"study_design_scores_gemma":[0.00004796157,0.00001103243,0.001018227,0.0001774593,0.00001132106,0.00006285885,0.00008162391,0.0002392888,0.0001586822,0.001019527,0.9971535,0.00001842105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009930185,0.0001390238,0.0001778084,0.0001093292,0.00004764818,0.00001501368,0.994096,0.002108304,0.003207573],"genre_scores_gemma":[0.0003184934,0.0001092805,0.0005407865,0.0001191994,0.0000122452,0.00004688142,0.9967769,0.0004361995,0.001640124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7372699,"threshold_uncertainty_score":0.8789198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}