{"id":"W6924492060","doi":"10.15468/dl.mv76bc","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Order (exchange)","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":[0.0009333614,0.002036041,0.001437681,0.004722868,0.0009221656,0.002467438,0.002788823,0.001746762,0.1248834],"category_scores_gemma":[0.006644876,0.000815786,0.001232628,0.009622172,0.0004336825,0.002202939,0.002623756,0.001851495,0.1856449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777296,"about_ca_system_score_gemma":0.002966427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03158085,"about_ca_topic_score_gemma":0.05463745,"domain_scores_codex":[0.9988989,0.0001568871,0.0001600009,0.0003646349,0.0002473659,0.0001722405],"domain_scores_gemma":[0.9975172,0.0006485964,0.0002511616,0.0005941183,0.0006848035,0.0003041035],"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":[0.00003101096,0.00001052386,0.0005209364,0.0004812566,0.00001428826,0.00001577397,0.00002445167,0.0001331454,0.00008194953,0.00039816,0.9966854,0.001603039],"study_design_scores_gemma":[0.00006240912,0.000007968682,0.001885042,0.0001987411,0.00001320461,0.00003963013,0.00006947495,0.000158072,0.000147332,0.0007773702,0.9966247,0.00001603237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004694646,0.00003621872,0.00004329822,0.00004307532,0.00001365139,0.00000532775,0.998733,0.0003783376,0.0007000652],"genre_scores_gemma":[0.0001488777,0.00004310918,0.0001818864,0.00004206568,0.000003620332,0.00003338527,0.9989004,0.0001160193,0.0005306611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8751166,"threshold_uncertainty_score":0.4177766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433029740945715,"score_gpt":0.2422494526036792,"score_spread":0.2279191551942221,"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."}}