{"id":"W6943302723","doi":"10.15468/dl.w27n9u","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); Download; Alien; Range (aeronautics); The Internet","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":[0.000861542,0.002003168,0.001491718,0.004893972,0.0009658939,0.002364721,0.002552156,0.001949333,0.1555898],"category_scores_gemma":[0.00551418,0.0008796427,0.001245975,0.009861889,0.0004349167,0.002080304,0.002431577,0.001793234,0.2213165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540585,"about_ca_system_score_gemma":0.002424054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02392848,"about_ca_topic_score_gemma":0.0392639,"domain_scores_codex":[0.9989844,0.0001340961,0.0001288017,0.0003685538,0.0002130248,0.000171018],"domain_scores_gemma":[0.9976835,0.0006533337,0.0002197493,0.0005910297,0.0005889047,0.0002633423],"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":[0.00003153939,0.00001143468,0.000399174,0.0005253873,0.00001431126,0.00001416854,0.00002135318,0.000119496,0.0001234131,0.0003348325,0.9969383,0.00146648],"study_design_scores_gemma":[0.00007437306,0.00001053141,0.002134209,0.0001876342,0.00001605393,0.00003778631,0.00007016282,0.0001474253,0.0002041521,0.0007280415,0.9963708,0.00001881387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004839052,0.00002777604,0.00003641779,0.00003298685,0.00001205518,0.000004996425,0.9988937,0.0003255229,0.0006181591],"genre_scores_gemma":[0.0001617298,0.00003496175,0.0001783729,0.00004487174,0.000003556829,0.00004029679,0.9988765,0.0001285992,0.0005311107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444102,"threshold_uncertainty_score":0.5204998,"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."}}