{"id":"W7106036547","doi":"10.15468/dl.cm5wnk","title":"Occurrence Download","year":2025,"lang":"","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; Set (abstract data type)","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":[0.0009040073,0.001671705,0.001439571,0.005194949,0.0009256309,0.00232601,0.002524187,0.001689093,0.1581826],"category_scores_gemma":[0.005360636,0.000809752,0.001024995,0.01096985,0.0004022394,0.002117493,0.002294987,0.001821839,0.2113305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692799,"about_ca_system_score_gemma":0.002790628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03591189,"about_ca_topic_score_gemma":0.06079814,"domain_scores_codex":[0.9990208,0.0001228235,0.000113386,0.0003268111,0.0002392249,0.0001769158],"domain_scores_gemma":[0.99752,0.000595871,0.0002431886,0.0006225985,0.0007103164,0.0003079677],"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":[0.00002298723,0.000008644175,0.0003745442,0.0003916994,0.00001273334,0.0000113209,0.00001991383,0.0001119134,0.00009026106,0.0003552221,0.9971819,0.001418726],"study_design_scores_gemma":[0.00005340231,0.000006364513,0.002115244,0.0001700062,0.00001223687,0.00002633616,0.00007265166,0.0001252994,0.0001675016,0.0007105148,0.9965238,0.00001655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003366488,0.00001997165,0.00003454038,0.00002655741,0.000009258178,0.000003947508,0.9990018,0.0002823636,0.0005878843],"genre_scores_gemma":[0.0001491575,0.00002733399,0.0001690502,0.00003619129,0.00000314395,0.00003073862,0.998965,0.0001183635,0.0005009981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418174,"threshold_uncertainty_score":0.5291735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}