{"id":"W6924513863","doi":"10.15468/dl.n6rzqy","title":"Occurrence Download","year":2022,"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":"Download; Matching (statistics); Range (aeronautics); State (computer science); 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":[0.001081336,0.001904384,0.001459294,0.004637939,0.0009917741,0.002432346,0.002773806,0.002062532,0.1410641],"category_scores_gemma":[0.006078145,0.0008596379,0.001200628,0.008748179,0.0004722592,0.002000671,0.002403285,0.002069055,0.1888705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590375,"about_ca_system_score_gemma":0.002329308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298881,"about_ca_topic_score_gemma":0.03828257,"domain_scores_codex":[0.9990037,0.0001579614,0.0001268266,0.0003374183,0.0002119623,0.0001621203],"domain_scores_gemma":[0.9974705,0.0007812374,0.0002341047,0.00062773,0.0005883515,0.0002980601],"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":[0.00002977341,0.00001259103,0.0004537263,0.0004910941,0.00001488698,0.00001621247,0.0000258506,0.0001338609,0.0001058154,0.0003644682,0.9970216,0.001330148],"study_design_scores_gemma":[0.00008405805,0.000008654494,0.002188914,0.0002015039,0.00001492624,0.00004222993,0.000086005,0.0001778913,0.0001824113,0.0007855726,0.9962105,0.00001745713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000475327,0.00002690391,0.00004311238,0.00004145666,0.00001192275,0.000005755322,0.998847,0.0003523923,0.0006239451],"genre_scores_gemma":[0.0001712683,0.00003240076,0.0001919459,0.0000491542,0.000003671338,0.00004246949,0.9989566,0.0001291787,0.0004233992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8589359,"threshold_uncertainty_score":0.4719064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519803073130174,"score_gpt":0.2421139216247928,"score_spread":0.226915890893491,"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."}}