{"id":"W6962316818","doi":"10.15468/dl.w5xb48","title":"Occurrence Download","year":2023,"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); Identification (biology); Confidentiality","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":[0.001025163,0.002042431,0.001520607,0.004174137,0.0009525257,0.002492838,0.002865245,0.002075204,0.1380619],"category_scores_gemma":[0.006159346,0.0008917502,0.001216866,0.008222761,0.000452986,0.001967764,0.002327186,0.002052325,0.2018591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698469,"about_ca_system_score_gemma":0.002365929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408734,"about_ca_topic_score_gemma":0.03834357,"domain_scores_codex":[0.9990463,0.0001436003,0.0001195266,0.0003371063,0.0002051664,0.000148256],"domain_scores_gemma":[0.9977011,0.0007260623,0.0002122937,0.0005654334,0.0005366949,0.0002584916],"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":[0.00003233754,0.0000112927,0.0004309145,0.0004944699,0.00001609459,0.00001666182,0.00002429514,0.0001526346,0.0001087681,0.0003992827,0.9969255,0.001387673],"study_design_scores_gemma":[0.00008329382,0.000008092574,0.001945722,0.0001935187,0.00001541268,0.00004224348,0.00007209346,0.0002036217,0.0002009736,0.0009383743,0.9962781,0.00001858684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003899321,0.00002616578,0.00004882642,0.0000367688,0.00001044181,0.000004878762,0.9988606,0.0004113085,0.0005620195],"genre_scores_gemma":[0.0001564712,0.00003084182,0.0002047774,0.00004619659,0.000003007554,0.00003750903,0.9989855,0.0001497395,0.0003859055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8619381,"threshold_uncertainty_score":0.4618632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250873920271963,"score_gpt":0.2480888034651924,"score_spread":0.2255800642624728,"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."}}