{"id":"W6924475437","doi":"10.15468/dl.mcv6tu","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":"Matching (statistics); Download; Range (aeronautics); Order (exchange); 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":[0.0009067658,0.001941047,0.001375322,0.00437633,0.0009235853,0.002443978,0.002751168,0.002018237,0.1422063],"category_scores_gemma":[0.005921133,0.0008231958,0.00121863,0.008428274,0.0004291293,0.002094216,0.002227212,0.001870674,0.2002234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672314,"about_ca_system_score_gemma":0.002277417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02445653,"about_ca_topic_score_gemma":0.03958366,"domain_scores_codex":[0.9990399,0.0001435178,0.0001214293,0.0003318197,0.0002119292,0.000151398],"domain_scores_gemma":[0.9978142,0.0006517345,0.0001870637,0.0005423673,0.0005614908,0.0002432003],"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":[0.00002877249,0.00001160149,0.0004163518,0.0004358796,0.00001418303,0.0000151699,0.00001975406,0.0001558665,0.00009017238,0.0003581812,0.9969121,0.001541978],"study_design_scores_gemma":[0.00008019345,0.000009339853,0.001961725,0.0002034458,0.00001509473,0.00004608,0.00007829103,0.0002646481,0.0001979912,0.0009731028,0.9961515,0.00001851983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005069298,0.00003388834,0.00005548374,0.00004560722,0.00001336865,0.000005419285,0.9985923,0.0005060455,0.0006971819],"genre_scores_gemma":[0.0001868056,0.00003581188,0.0002212979,0.00005157535,0.00000357383,0.00003394166,0.9988643,0.0001391169,0.0004637129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8577937,"threshold_uncertainty_score":0.4757273,"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."}}