{"id":"W6925156491","doi":"10.15468/dl.yd6wyg","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; 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":[0.0009334267,0.002012944,0.001510787,0.004769685,0.0008915994,0.002404869,0.002624778,0.001947799,0.1438287],"category_scores_gemma":[0.005417837,0.000867382,0.001103112,0.009289005,0.0004491587,0.002026379,0.002337705,0.001866157,0.2075926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598142,"about_ca_system_score_gemma":0.002401409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164642,"about_ca_topic_score_gemma":0.03768441,"domain_scores_codex":[0.9990003,0.0001391691,0.0001363982,0.0003461863,0.000211965,0.000166076],"domain_scores_gemma":[0.9977379,0.0005913599,0.0002526811,0.0005599046,0.000575243,0.0002830194],"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":[0.00003617766,0.00001199057,0.0004452647,0.0005545289,0.0000156648,0.00001503492,0.00002102278,0.0001369739,0.0001135568,0.0004011836,0.996841,0.001407628],"study_design_scores_gemma":[0.0000835196,0.000008914782,0.001899258,0.0001882985,0.00001455774,0.00003675912,0.00005979628,0.0001419168,0.0001796394,0.0007944534,0.9965749,0.00001787009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003799483,0.00002487505,0.0000338761,0.00002873415,0.000009961036,0.000004776368,0.999006,0.0002647901,0.0005890434],"genre_scores_gemma":[0.000153965,0.00003426011,0.0001731638,0.00004493608,0.000003410134,0.00003806115,0.9989779,0.0001062562,0.0004680862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8561713,"threshold_uncertainty_score":0.481155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432592602817901,"score_gpt":0.2710611933189994,"score_spread":0.2467352672908203,"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."}}