{"id":"W6924678893","doi":"10.15468/dl.w2k58d","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Tree (set theory)","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":[0.0009476597,0.001941579,0.001470526,0.00450105,0.0008702339,0.002379673,0.002588597,0.001976213,0.1316454],"category_scores_gemma":[0.005425013,0.0008272573,0.001132047,0.008715416,0.0004240359,0.002050215,0.0022077,0.001870589,0.1910162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617475,"about_ca_system_score_gemma":0.002348374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145619,"about_ca_topic_score_gemma":0.03742676,"domain_scores_codex":[0.9990319,0.0001479831,0.0001327056,0.0003288952,0.0002062984,0.0001522435],"domain_scores_gemma":[0.9978169,0.0006164298,0.0002283265,0.0005319982,0.0005515055,0.0002548014],"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":[0.00003642987,0.00001291847,0.0004402676,0.0005567352,0.00001589513,0.00001655059,0.00002072578,0.0001466054,0.0001129086,0.0004187929,0.9966789,0.00154315],"study_design_scores_gemma":[0.00007698312,0.000009044038,0.001840388,0.000184094,0.00001429103,0.0000379826,0.00005643362,0.0001518838,0.0001774614,0.0008005711,0.9966331,0.00001783014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004194007,0.00002958774,0.00003790449,0.00003604523,0.00001040976,0.000005121416,0.9989038,0.0002949715,0.0006402852],"genre_scores_gemma":[0.0001612871,0.00003803227,0.0001831015,0.00005042062,0.000003469368,0.00003771529,0.99892,0.0001050898,0.0005008646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8683546,"threshold_uncertainty_score":0.4403977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952376295438348,"score_gpt":0.2529157475120256,"score_spread":0.2333919845576421,"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."}}