{"id":"W6962292463","doi":"10.15468/dl.p52yd4","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":"Download; Matching (statistics); Range (aeronautics); Order (exchange); 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":[0.0009113342,0.001863892,0.001517405,0.004896141,0.0009480462,0.002512722,0.002732996,0.001851736,0.1525503],"category_scores_gemma":[0.00555399,0.0008967415,0.001145937,0.01050432,0.000421869,0.002226951,0.002499566,0.001921475,0.2136548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599428,"about_ca_system_score_gemma":0.002430855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02536236,"about_ca_topic_score_gemma":0.04458091,"domain_scores_codex":[0.9989951,0.000128254,0.0001279145,0.0003418631,0.0002337591,0.0001730621],"domain_scores_gemma":[0.9976951,0.0006003427,0.0002209455,0.0006186177,0.0005895966,0.0002753797],"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":[0.0000260926,0.000009612345,0.0003850185,0.000483898,0.00001480642,0.00001393056,0.00002461614,0.0001241316,0.0001119382,0.0004021117,0.9969902,0.001413515],"study_design_scores_gemma":[0.00005527555,0.000006122785,0.001767076,0.000163485,0.00001258804,0.00003242108,0.00007242009,0.0001324985,0.0001782475,0.0007266523,0.9968377,0.00001552533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003924059,0.0000236204,0.00004268028,0.00003044137,0.00001081335,0.000004278381,0.9988417,0.000352795,0.0006544522],"genre_scores_gemma":[0.0001490247,0.00002959861,0.0001909222,0.00003500368,0.000002835997,0.00003211754,0.9989801,0.0001399831,0.0004403851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8474497,"threshold_uncertainty_score":0.5103317,"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."}}