{"id":"W7107969663","doi":"10.15468/dl.8gqzwp","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); Polygon (computer graphics); 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":[0.0009469525,0.001843784,0.001696022,0.005377539,0.001093085,0.002976217,0.002835578,0.002055246,0.1968708],"category_scores_gemma":[0.006835029,0.0009692416,0.001238772,0.01033381,0.0004060125,0.002690388,0.002701635,0.00196713,0.258512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017861,"about_ca_system_score_gemma":0.002519395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02332065,"about_ca_topic_score_gemma":0.0371065,"domain_scores_codex":[0.9988299,0.0001437504,0.0001543818,0.0004150954,0.0002614872,0.0001953019],"domain_scores_gemma":[0.9973952,0.000699631,0.0002417148,0.0006609984,0.0007176588,0.0002848378],"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":[0.00002833324,0.00000899032,0.000380234,0.0005742548,0.00001398486,0.00001384199,0.0000215248,0.0001034668,0.00009147922,0.0003823658,0.9966456,0.001736006],"study_design_scores_gemma":[0.00005507327,0.000006493275,0.001478427,0.0001925641,0.00001229472,0.00003136865,0.00006552699,0.0001263191,0.0001468527,0.0006710831,0.9971989,0.00001508434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003538473,0.00003159573,0.00004602921,0.00003981096,0.00001219751,0.000004778487,0.9986269,0.0004470294,0.0007561711],"genre_scores_gemma":[0.0001693857,0.00004362899,0.0002240808,0.00005434683,0.000004042774,0.0000409342,0.9986558,0.0001855298,0.0006222574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8031292,"threshold_uncertainty_score":0.6585984,"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."}}