{"id":"W6962148075","doi":"10.15468/dl.xqr4pq","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","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":[0.0009477747,0.001890122,0.00156716,0.004826031,0.0009648776,0.002508945,0.002798435,0.002030342,0.1492574],"category_scores_gemma":[0.005502846,0.0008910945,0.001221895,0.01038865,0.0004391962,0.002271804,0.00240882,0.001933203,0.2066656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625511,"about_ca_system_score_gemma":0.00236714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02543095,"about_ca_topic_score_gemma":0.04014484,"domain_scores_codex":[0.9989748,0.0001350657,0.0001404616,0.0003514523,0.000230552,0.0001677243],"domain_scores_gemma":[0.9977415,0.0006286461,0.0002121893,0.0006002082,0.0005587086,0.0002588181],"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":[0.00002961849,0.00001059748,0.0003774773,0.0005201448,0.00001539759,0.0000154018,0.00002421726,0.0001373055,0.0001146,0.0003903698,0.9968892,0.001475735],"study_design_scores_gemma":[0.00006895455,0.000007533144,0.001982991,0.0001949929,0.00001481643,0.00003950215,0.00007685022,0.000165465,0.0001873073,0.0007622819,0.9964813,0.00001794916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003830781,0.00002474815,0.00004257509,0.00003136519,0.00001079109,0.000004182999,0.9989594,0.000336131,0.0005524106],"genre_scores_gemma":[0.0001479401,0.00003149955,0.0001845912,0.00003727663,0.000002999642,0.00003289033,0.9990358,0.0001258144,0.0004011741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8507426,"threshold_uncertainty_score":0.4993158,"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."}}