{"id":"W6905795422","doi":"10.15468/dl.9jshkv","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); Lithobates; Context (archaeology)","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":[0.0008756154,0.00197846,0.001568632,0.004537609,0.0009701326,0.002430571,0.00262066,0.002080326,0.1462362],"category_scores_gemma":[0.005693606,0.0009087161,0.001188935,0.009016462,0.0004309872,0.002312583,0.002497484,0.001948495,0.2078836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540905,"about_ca_system_score_gemma":0.002181447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02084116,"about_ca_topic_score_gemma":0.03489279,"domain_scores_codex":[0.9990643,0.0001202878,0.0001190269,0.0003387591,0.000202448,0.0001552442],"domain_scores_gemma":[0.9978375,0.0006218292,0.0002143728,0.0005725965,0.0005009905,0.000252789],"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":[0.00003035417,0.00001139444,0.0004140111,0.0005666268,0.00001551347,0.00001539801,0.00002451231,0.0001398452,0.0001214933,0.0003837887,0.9967893,0.001487839],"study_design_scores_gemma":[0.00008036506,0.000009522008,0.002048221,0.0002071183,0.00001582518,0.00004033774,0.00007695286,0.000185815,0.00019705,0.0007718007,0.9963486,0.0000182392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004657675,0.00002957517,0.00004185394,0.00003674316,0.00001259684,0.000005093654,0.9988574,0.0003736347,0.0005965874],"genre_scores_gemma":[0.0001664074,0.00003496135,0.0001971598,0.00004448282,0.000003536973,0.00003978367,0.9989375,0.000130182,0.0004459537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8537638,"threshold_uncertainty_score":0.4892088,"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."}}