{"id":"W6924517337","doi":"10.15468/dl.qfisbg","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Key (lock)","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":[0.0009002417,0.002045155,0.001583615,0.004529511,0.0009948385,0.002495688,0.002838604,0.002164266,0.1345856],"category_scores_gemma":[0.005905739,0.0008580822,0.001251843,0.008747095,0.0004728346,0.002051284,0.0023766,0.001994382,0.1966667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667063,"about_ca_system_score_gemma":0.002425538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02433956,"about_ca_topic_score_gemma":0.03870032,"domain_scores_codex":[0.9990799,0.0001323614,0.0001246017,0.0003188292,0.0001937079,0.0001506125],"domain_scores_gemma":[0.9979541,0.0006213437,0.0001895472,0.0004995855,0.0005006252,0.0002347892],"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":[0.00003348603,0.00001232388,0.0004415276,0.0006227484,0.00001650407,0.00001844489,0.00002558712,0.0001571207,0.0001224345,0.000356633,0.9966851,0.001508221],"study_design_scores_gemma":[0.00009656841,0.00000989635,0.002062643,0.0002280369,0.00001756625,0.00004703039,0.00008346116,0.0002292985,0.0002029245,0.0007986102,0.9962054,0.00001851269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004656945,0.0000331408,0.00004321918,0.0000411865,0.00001332571,0.000006045268,0.9988636,0.0004003555,0.0005525736],"genre_scores_gemma":[0.0001643109,0.00003728599,0.0001855725,0.00004674499,0.0000033135,0.00004130813,0.9990094,0.0001208385,0.0003912614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8654144,"threshold_uncertainty_score":0.4502339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430205338040195,"score_gpt":0.2381175952887383,"score_spread":0.2238155419083363,"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."}}