{"id":"W6924323815","doi":"10.15468/dl.pe8xqj","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.001107749,0.002010328,0.001736123,0.00581796,0.0009347047,0.002490744,0.002847347,0.002011985,0.1397557],"category_scores_gemma":[0.006495386,0.0008384115,0.001214926,0.01066149,0.0004709182,0.002174236,0.002472448,0.001916007,0.1952696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603914,"about_ca_system_score_gemma":0.002396678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161122,"about_ca_topic_score_gemma":0.03857045,"domain_scores_codex":[0.998834,0.0001664101,0.0001583261,0.0003994066,0.000261711,0.0001801823],"domain_scores_gemma":[0.9972367,0.0007353571,0.0002679153,0.0007133848,0.000722028,0.0003245227],"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":[0.00004008285,0.00001117412,0.0004234232,0.000742522,0.00002138898,0.00001632857,0.00002099639,0.0001496043,0.0001273426,0.0003492461,0.996476,0.001621957],"study_design_scores_gemma":[0.00009129744,0.000009734132,0.002131236,0.0002185132,0.00001824707,0.00003712512,0.00006649984,0.0001463927,0.0001940535,0.0006765893,0.9963922,0.00001809318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003853393,0.00002980583,0.00003173562,0.00002652516,0.000008615302,0.000005351696,0.9991246,0.0002697839,0.0004651381],"genre_scores_gemma":[0.0001551646,0.00003670915,0.0001641471,0.00003412817,0.00000308009,0.00003938816,0.9990715,0.0001017564,0.0003940923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8602443,"threshold_uncertainty_score":0.4675294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07880306999362116,"score_gpt":0.2417669525160658,"score_spread":0.1629638825224446,"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."}}