{"id":"W7108954261","doi":"10.15468/dl.7795gj","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":[0.0009270881,0.001812773,0.001464204,0.005154821,0.000922091,0.002397275,0.002567671,0.00190517,0.1573501],"category_scores_gemma":[0.005745265,0.0008524696,0.001044705,0.009847457,0.0004299302,0.002166895,0.002493947,0.001823046,0.2127468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622709,"about_ca_system_score_gemma":0.002436989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02318855,"about_ca_topic_score_gemma":0.03654367,"domain_scores_codex":[0.9989622,0.0001341666,0.0001317574,0.000346801,0.0002443899,0.0001808233],"domain_scores_gemma":[0.9975632,0.0006132596,0.0002551855,0.0006416353,0.0006219973,0.0003046772],"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":[0.0000301874,0.00001024384,0.0003678185,0.0005195518,0.00001392779,0.00001265665,0.00002076472,0.0001131208,0.000116872,0.0003713434,0.9969271,0.00149635],"study_design_scores_gemma":[0.00006660839,0.000007506933,0.001986834,0.0001849764,0.00001307816,0.00003136555,0.00006212381,0.0001182615,0.0001854117,0.0006633757,0.9966649,0.00001545166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003796411,0.00002482727,0.00003313427,0.00003188742,0.000009773786,0.000004504823,0.9989744,0.0002898951,0.0005936938],"genre_scores_gemma":[0.0001588438,0.00003237616,0.0001576113,0.00004336791,0.000003448751,0.00003361487,0.9989868,0.0001157044,0.0004682326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8426499,"threshold_uncertainty_score":0.5263885,"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."}}