{"id":"W6962271075","doi":"10.15468/dl.sec4sw","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); 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":[0.001023102,0.001894072,0.001542948,0.004897085,0.001078771,0.002560214,0.002804128,0.002173376,0.1566106],"category_scores_gemma":[0.006240448,0.0008710561,0.001273043,0.009165776,0.000466133,0.00245221,0.002615923,0.002008268,0.2186901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600688,"about_ca_system_score_gemma":0.002363616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210821,"about_ca_topic_score_gemma":0.03833488,"domain_scores_codex":[0.9989165,0.0001501357,0.0001337287,0.000381496,0.0002443932,0.0001738233],"domain_scores_gemma":[0.9972962,0.0007823656,0.0002335772,0.0007355101,0.0006543309,0.0002979467],"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":[0.00002812694,0.00001218251,0.0003700354,0.0005060002,0.00001288765,0.00001501887,0.00002281263,0.000113096,0.0001120511,0.0003531273,0.9970537,0.001400861],"study_design_scores_gemma":[0.00006929453,0.000009234398,0.001922027,0.0001946002,0.00001330436,0.00003851753,0.00007985737,0.0001503483,0.0001829701,0.0007737256,0.9965481,0.00001809878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004865798,0.0000294754,0.00004637565,0.00004468456,0.00001431402,0.000006405161,0.9987057,0.0004129217,0.0006913505],"genre_scores_gemma":[0.0001727392,0.00003494178,0.0002161333,0.00005273003,0.000004025386,0.00004816028,0.9988241,0.0001480322,0.0004991424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8433895,"threshold_uncertainty_score":0.5239145,"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."}}