{"id":"W6943420315","doi":"10.15468/dl.v8eaap","title":"Occurrence Download","year":2025,"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); Data set; 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":[0.001025534,0.001839664,0.001581499,0.005202095,0.0009231164,0.002533881,0.002731099,0.001906263,0.1762899],"category_scores_gemma":[0.006046379,0.0009175136,0.001134795,0.01002748,0.0004438309,0.002269736,0.002739081,0.001872798,0.2375167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430296,"about_ca_system_score_gemma":0.002282325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01943937,"about_ca_topic_score_gemma":0.03301773,"domain_scores_codex":[0.9989789,0.0001334552,0.000138516,0.0003426836,0.0002334739,0.0001730235],"domain_scores_gemma":[0.9974106,0.0006780412,0.000252838,0.0007087672,0.0006399503,0.0003099335],"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":[0.00002896672,0.00001042891,0.0003711518,0.000584143,0.00001599488,0.00001385301,0.00002388876,0.0001073508,0.0001294083,0.000380273,0.996814,0.001520732],"study_design_scores_gemma":[0.00006482135,0.000007433302,0.001864868,0.0002002135,0.00001435104,0.00003322111,0.00006470831,0.0001029567,0.0001858593,0.0006756015,0.9967699,0.00001613845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003603517,0.00002492102,0.00003862008,0.0000291644,0.00001051773,0.000004913398,0.9989442,0.0003192392,0.0005924412],"genre_scores_gemma":[0.0001462451,0.0000334486,0.0001781405,0.00004118393,0.000003419105,0.00003924394,0.9989651,0.0001412436,0.0004518988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8237101,"threshold_uncertainty_score":0.5897486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}