{"id":"W6962563497","doi":"10.15468/dl.zcy89e","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); Homonym (biology); Alien","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":[0.001029566,0.001949637,0.001646206,0.005003381,0.001045438,0.002606244,0.002786932,0.002178189,0.1604359],"category_scores_gemma":[0.00635623,0.0009224574,0.001300208,0.009881781,0.0004665091,0.00234144,0.002630179,0.002053163,0.2269238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612366,"about_ca_system_score_gemma":0.002444255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285895,"about_ca_topic_score_gemma":0.03581776,"domain_scores_codex":[0.9989026,0.0001503056,0.0001360122,0.0003829603,0.0002449155,0.0001832195],"domain_scores_gemma":[0.9973043,0.0007992944,0.0002438206,0.0006964682,0.0006626826,0.0002933969],"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":[0.00002989198,0.00001191664,0.0003853853,0.0005877336,0.00001475186,0.00001506648,0.00002499613,0.0001225021,0.0001204672,0.0003574319,0.9968947,0.001435162],"study_design_scores_gemma":[0.00007134147,0.000009369483,0.00199925,0.0002160105,0.00001519376,0.00003579797,0.00007951447,0.0001441506,0.0001892281,0.0007444937,0.9964777,0.00001813175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004300928,0.00002893351,0.00004067753,0.00003725422,0.0000125625,0.000005454283,0.9988533,0.0003723461,0.0006063099],"genre_scores_gemma":[0.0001627113,0.00003635133,0.0001919032,0.00004860737,0.000003684493,0.00004536953,0.9988837,0.000150875,0.0004767395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395641,"threshold_uncertainty_score":0.5367116,"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."}}