{"id":"W6887231982","doi":"10.15468/dl.uuk3h6","title":"Occurrence Download","year":2023,"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); Download; Context (archaeology); Set (abstract data type)","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":[0.0009556354,0.001958743,0.001527028,0.004630079,0.0009510394,0.002351221,0.002784071,0.001952363,0.1426497],"category_scores_gemma":[0.005495466,0.0009151079,0.001157505,0.00952294,0.0004470588,0.002183828,0.002418287,0.001976708,0.1958279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606443,"about_ca_system_score_gemma":0.002271513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409413,"about_ca_topic_score_gemma":0.03801243,"domain_scores_codex":[0.9990558,0.0001248833,0.0001209434,0.000323358,0.0002143921,0.0001605925],"domain_scores_gemma":[0.9978644,0.0006007791,0.0002009522,0.000574875,0.0005102474,0.0002487988],"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":[0.00003055843,0.00001190356,0.0003986092,0.0005227967,0.000015469,0.00001679692,0.00002802299,0.0001471289,0.0001366308,0.0004296758,0.9967775,0.001484863],"study_design_scores_gemma":[0.00007070981,0.000007660723,0.001867951,0.0001748768,0.00001386356,0.00003960685,0.00007808209,0.0001680211,0.0002083794,0.000759123,0.9965941,0.00001758284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004815244,0.00002555894,0.00005157663,0.00003376187,0.0000111211,0.000005241925,0.9987482,0.0004311786,0.0006451969],"genre_scores_gemma":[0.000169555,0.00003037878,0.000207731,0.00003914654,0.000002793186,0.00003884338,0.9989465,0.0001605111,0.0004045748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8573503,"threshold_uncertainty_score":0.4772107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}