{"id":"W6943483282","doi":"10.15468/dl.qc8g2k","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); Alien; The Internet","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":[0.001052311,0.001881682,0.001561886,0.005013608,0.000949403,0.002563039,0.002698538,0.00207357,0.1561458],"category_scores_gemma":[0.00620267,0.0008821503,0.001206365,0.01005175,0.0004479944,0.002197045,0.002443034,0.001994275,0.2154613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600493,"about_ca_system_score_gemma":0.00234678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02262204,"about_ca_topic_score_gemma":0.03613758,"domain_scores_codex":[0.9989319,0.0001522826,0.0001365645,0.0003676612,0.0002374895,0.0001740814],"domain_scores_gemma":[0.99733,0.0008023646,0.0002539649,0.0006902404,0.0006276097,0.0002958814],"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":[0.00002842368,0.00001148586,0.0003985998,0.00053618,0.00001519589,0.00001399195,0.0000226981,0.0001337786,0.0001107346,0.0003719271,0.9969688,0.001388118],"study_design_scores_gemma":[0.00007259147,0.000008649333,0.002065089,0.0002048598,0.00001512487,0.00003515543,0.00007319891,0.0001479437,0.000185405,0.000770796,0.9964038,0.00001743407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003954857,0.00002547248,0.00003861585,0.00003450082,0.00001099147,0.000004703077,0.9989805,0.0002995079,0.0005662435],"genre_scores_gemma":[0.0001608285,0.00003369763,0.0001757049,0.00004297499,0.000003399006,0.00004061188,0.998948,0.0001274437,0.0004674483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8438542,"threshold_uncertainty_score":0.5223598,"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."}}