{"id":"W6943403226","doi":"10.15468/dl.wbuwkq","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001092962,0.002031315,0.001642539,0.005918645,0.001046886,0.002600778,0.002794212,0.001738633,0.2106021],"category_scores_gemma":[0.006381363,0.0009882211,0.001181834,0.01066918,0.0004604343,0.002329867,0.003111579,0.001881772,0.2791255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916729,"about_ca_system_score_gemma":0.003192355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03473633,"about_ca_topic_score_gemma":0.05797405,"domain_scores_codex":[0.9989433,0.0001163623,0.0001245168,0.0003479987,0.0002634169,0.0002044464],"domain_scores_gemma":[0.9968831,0.0007197534,0.000270713,0.0008010558,0.0009353526,0.0003899799],"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":[0.00002477652,0.000006919857,0.0002569501,0.000477666,0.00001156821,0.00001094916,0.00001932899,0.000072189,0.0001077846,0.0003129635,0.9973282,0.001370781],"study_design_scores_gemma":[0.00005274477,0.000005386152,0.00159597,0.0001856591,0.00001153265,0.00002602077,0.00005110083,0.0000768258,0.0001753604,0.000595608,0.9972081,0.0000157365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002256391,0.00001774997,0.00003392909,0.00002388496,0.000009175504,0.000004948699,0.9988344,0.000398729,0.0006545703],"genre_scores_gemma":[0.0001247747,0.00003193142,0.0001999579,0.00004189679,0.000003396793,0.0000422339,0.9988346,0.0002228243,0.0004985278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7893979,"threshold_uncertainty_score":0.7045342,"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."}}