{"id":"W6943421420","doi":"10.15468/dl.ykm9ap","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)","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":[0.0009187323,0.001927575,0.001521159,0.005100719,0.00101955,0.002569519,0.002678735,0.002047084,0.1578838],"category_scores_gemma":[0.005894711,0.0008420661,0.001256271,0.009442085,0.0004403646,0.002391723,0.002559599,0.00191426,0.2300808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541352,"about_ca_system_score_gemma":0.002334579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380197,"about_ca_topic_score_gemma":0.03801504,"domain_scores_codex":[0.9989612,0.0001400026,0.0001297343,0.0003626668,0.0002303878,0.0001759546],"domain_scores_gemma":[0.9974462,0.0007300217,0.0002203374,0.0006731214,0.0006477517,0.0002826144],"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":[0.00002651676,0.00001160836,0.0003951512,0.0004870897,0.00001248348,0.00001544799,0.00002349685,0.000107039,0.0001055989,0.0003207588,0.9970096,0.001485089],"study_design_scores_gemma":[0.00006100792,0.000008784794,0.002029514,0.0001966228,0.00001343309,0.0000395256,0.00008631554,0.0001566778,0.0001835915,0.0006825635,0.9965244,0.00001757427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004975015,0.00002971559,0.0000454318,0.00004240739,0.00001422332,0.000006061728,0.998698,0.0004374097,0.0006769357],"genre_scores_gemma":[0.0001697494,0.00003566658,0.0001960394,0.00004792081,0.000004093889,0.00004247253,0.9988338,0.0001504776,0.0005198903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8421162,"threshold_uncertainty_score":0.5281739,"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."}}