{"id":"W6924583542","doi":"10.15468/dl.p5dcgb","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); Data set; 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":[0.001069184,0.001923988,0.001612571,0.00518396,0.0009731524,0.002688466,0.002776335,0.002083558,0.1558438],"category_scores_gemma":[0.00617117,0.0009116239,0.00123351,0.01042078,0.0004501986,0.002307009,0.002458288,0.00197842,0.2241726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614276,"about_ca_system_score_gemma":0.002337293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214003,"about_ca_topic_score_gemma":0.03485279,"domain_scores_codex":[0.9988733,0.0001580136,0.0001477402,0.0003895002,0.0002474641,0.0001839923],"domain_scores_gemma":[0.9973036,0.0007987014,0.0002538176,0.0006975828,0.0006532256,0.0002931126],"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":[0.0000304047,0.00001162688,0.0003949251,0.0005671089,0.00001578623,0.00001503963,0.00002273993,0.0001277513,0.0001163903,0.0003761716,0.9969549,0.00136718],"study_design_scores_gemma":[0.00007394286,0.000008815514,0.002021085,0.000208443,0.00001564253,0.00003760735,0.00007533354,0.0001493062,0.0001925795,0.0007986412,0.9964004,0.00001824688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003755039,0.00002505619,0.00003739312,0.00003285402,0.00001060768,0.000004714965,0.9989986,0.000296342,0.0005568948],"genre_scores_gemma":[0.0001444704,0.00003272348,0.0001658702,0.00004209351,0.000003222523,0.00003762673,0.9990182,0.0001219406,0.0004337945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441562,"threshold_uncertainty_score":0,"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."}}