{"id":"W6943462435","doi":"10.15468/dl.z4nmqw","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); 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":[0.001060784,0.002028333,0.001579944,0.005280242,0.0009058542,0.002610733,0.002798257,0.00204217,0.1484634],"category_scores_gemma":[0.006194834,0.0009087672,0.001229233,0.009747981,0.0004416508,0.002212212,0.002530258,0.001900732,0.2086765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629417,"about_ca_system_score_gemma":0.002341334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133827,"about_ca_topic_score_gemma":0.03296943,"domain_scores_codex":[0.998865,0.0001622533,0.0001560229,0.0003772669,0.0002534776,0.0001859488],"domain_scores_gemma":[0.9973925,0.0007130377,0.0002605363,0.0007054608,0.0006308115,0.0002977294],"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":[0.0000314282,0.000011085,0.0003588876,0.0005884883,0.00001772529,0.00001452885,0.00002107966,0.0001328685,0.0001175275,0.0003764379,0.9969249,0.001404981],"study_design_scores_gemma":[0.00007862984,0.00000882475,0.001934685,0.0001996408,0.00001603266,0.00003668972,0.00006061054,0.0001495922,0.0001993575,0.0007767081,0.9965211,0.00001818892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003762967,0.00002783286,0.00003668129,0.00003418952,0.00001047914,0.000005100861,0.9989353,0.0003549929,0.0005578099],"genre_scores_gemma":[0.0001562656,0.0000334402,0.000159713,0.00004639224,0.000003369159,0.00003650294,0.9990411,0.0001249766,0.0003981516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8515366,"threshold_uncertainty_score":0.4966596,"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."}}