{"id":"W7083622465","doi":"10.15468/dl.kb5f4x","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology)","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":[0.00110219,0.001898982,0.001500929,0.005035712,0.0008771364,0.00257514,0.00264189,0.001895042,0.1621492],"category_scores_gemma":[0.006462581,0.000904019,0.001230225,0.009348954,0.0004549497,0.002029622,0.002469413,0.001867888,0.2156322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678632,"about_ca_system_score_gemma":0.002395418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213595,"about_ca_topic_score_gemma":0.0340691,"domain_scores_codex":[0.9989287,0.000161292,0.0001459675,0.0003648022,0.0002284441,0.0001707674],"domain_scores_gemma":[0.9974349,0.0007640421,0.0002416387,0.0006298242,0.000642565,0.0002870192],"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":[0.00003405253,0.00001031982,0.0004388913,0.0006136397,0.00001875724,0.00001605083,0.00002384766,0.0001422251,0.0001182326,0.0004482029,0.9965862,0.001549523],"study_design_scores_gemma":[0.00007472253,0.000007170554,0.001794531,0.0002089624,0.00001456225,0.00003546564,0.00005907528,0.0001274592,0.0001760293,0.0008239201,0.9966621,0.00001600722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003327508,0.00002661902,0.00003854529,0.00003144367,0.00000952501,0.000004613454,0.9989389,0.000327774,0.0005892834],"genre_scores_gemma":[0.000158608,0.00003739678,0.0001796018,0.00005370904,0.000003427677,0.00003500094,0.998963,0.0001504385,0.0004188413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8378508,"threshold_uncertainty_score":0.5424432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422703881177683,"score_gpt":0.2414379609162746,"score_spread":0.2272109221044978,"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."}}