{"id":"W6962163846","doi":"10.15468/dl.kqv57x","title":"Occurrence Download","year":2024,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001163168,0.002069595,0.001671247,0.005894728,0.001022376,0.002750025,0.002864615,0.001773816,0.2101012],"category_scores_gemma":[0.006779636,0.001012368,0.001233023,0.01038789,0.0004817512,0.002508672,0.003216396,0.001913147,0.2875502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817789,"about_ca_system_score_gemma":0.002753425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02645275,"about_ca_topic_score_gemma":0.04254006,"domain_scores_codex":[0.998886,0.0001394622,0.0001406554,0.0003606589,0.0002623912,0.0002108158],"domain_scores_gemma":[0.9970759,0.000709479,0.0002693014,0.0007600707,0.0008323371,0.0003528258],"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":[0.00002533762,0.000007514333,0.0002704977,0.0005008954,0.00001199624,0.00001080013,0.00001925991,0.0000748542,0.00009779257,0.0003338166,0.9973069,0.001340232],"study_design_scores_gemma":[0.00005455947,0.000006002981,0.001438959,0.000199927,0.00001184016,0.00002588147,0.00005242121,0.0000788026,0.0001582509,0.0006405534,0.9973181,0.00001474616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002392184,0.00001976861,0.00003326535,0.00002673295,0.000009330001,0.000005094348,0.9988563,0.0003472537,0.0006782919],"genre_scores_gemma":[0.0001211503,0.00003366774,0.000176199,0.0000468787,0.00000335427,0.00004211548,0.9988695,0.0001922525,0.0005148583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7898988,"threshold_uncertainty_score":0.7028587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}