{"id":"W6924669379","doi":"10.15468/dl.qfczvg","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Invertebrate; Atlantic forest","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":[0.001066443,0.001824154,0.001397336,0.005592528,0.0009331257,0.002438484,0.002457072,0.001702038,0.1902837],"category_scores_gemma":[0.006585131,0.0008916623,0.001236179,0.01009608,0.0004198474,0.002265078,0.002706031,0.001851525,0.2530772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582487,"about_ca_system_score_gemma":0.002556107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02614449,"about_ca_topic_score_gemma":0.04414422,"domain_scores_codex":[0.998857,0.0001587989,0.0001539926,0.0003768122,0.0002633234,0.0001901588],"domain_scores_gemma":[0.9970766,0.0007980983,0.0002573963,0.0007126613,0.0008058858,0.000349242],"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":[0.00002598198,0.000008310004,0.0003554926,0.0004277303,0.00001203264,0.00001222277,0.00001974609,0.00009218178,0.00008883815,0.0003186901,0.9971384,0.001500383],"study_design_scores_gemma":[0.00005111625,0.000006647968,0.001824651,0.0001815912,0.00001093407,0.00002946871,0.00006635178,0.0001050802,0.0001446605,0.0006284828,0.9969364,0.00001465461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000338678,0.00002130604,0.00004004063,0.00003335386,0.00001168571,0.000005298638,0.9988326,0.0003310454,0.0006907407],"genre_scores_gemma":[0.0001433092,0.00003320503,0.0001843334,0.00005028017,0.000003993815,0.00003850264,0.9988294,0.0001591756,0.000557876],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8097163,"threshold_uncertainty_score":0.6365623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417505373668588,"score_gpt":0.3376098075969593,"score_spread":0.3034347538602734,"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."}}