{"id":"W6924922742","doi":"10.15468/dl.w37h3s","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); Alien; Range (aeronautics); Identification (biology)","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":[0.0009523265,0.001928827,0.001610777,0.005046489,0.001055124,0.00259357,0.002739274,0.002126447,0.1575827],"category_scores_gemma":[0.005889879,0.0008864128,0.00127818,0.009963235,0.0004610158,0.002300597,0.002543727,0.00196033,0.2311626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575092,"about_ca_system_score_gemma":0.002360494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02403228,"about_ca_topic_score_gemma":0.03816568,"domain_scores_codex":[0.99898,0.000136307,0.0001249548,0.0003593281,0.0002264899,0.0001729678],"domain_scores_gemma":[0.9974442,0.000740801,0.0002244765,0.0006772387,0.0006367848,0.0002765406],"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":[0.00002831379,0.0000115569,0.0003711329,0.0005737583,0.00001390342,0.00001643616,0.00002494333,0.0001117204,0.0001284321,0.0003472462,0.9969137,0.00145884],"study_design_scores_gemma":[0.00006539055,0.000008918181,0.002076295,0.0002063157,0.00001492389,0.0000389646,0.00008296483,0.0001378073,0.0002008299,0.0006700917,0.9964796,0.00001796264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004693914,0.0000304123,0.00004282017,0.00003765229,0.00001305964,0.000005642,0.9987477,0.0004167608,0.0006590501],"genre_scores_gemma":[0.0001665875,0.00003702292,0.000183085,0.00004574372,0.000003721252,0.00004256799,0.9988728,0.0001515209,0.0004968892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424174,"threshold_uncertainty_score":0.5271665,"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."}}