{"id":"W6905830567","doi":"10.15468/dl.yi4fa1","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality; 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":[0.0009829205,0.001974827,0.001550662,0.004914524,0.001001669,0.002562619,0.00290868,0.002035379,0.1452137],"category_scores_gemma":[0.005828182,0.0008564456,0.001156372,0.009735213,0.0004411776,0.002263313,0.002550996,0.001985033,0.2090999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663275,"about_ca_system_score_gemma":0.002423677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02561033,"about_ca_topic_score_gemma":0.03977152,"domain_scores_codex":[0.998984,0.0001360428,0.0001306146,0.0003431962,0.0002368848,0.000169194],"domain_scores_gemma":[0.9976872,0.0006357738,0.0002147876,0.0006218981,0.0005691547,0.0002711653],"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":[0.00002668161,0.00001057046,0.0003370254,0.0004518127,0.00001378664,0.00001420616,0.00002298568,0.0001217553,0.0001035427,0.0003852987,0.9971621,0.001350378],"study_design_scores_gemma":[0.00006521824,0.000007382737,0.001775149,0.0001784275,0.0000133529,0.00003691798,0.00007355621,0.0001637803,0.0001940506,0.00080416,0.9966708,0.00001713138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004370908,0.00002913005,0.00004778655,0.00003911653,0.00001236634,0.000005108459,0.9987244,0.0004210998,0.0006773524],"genre_scores_gemma":[0.0001576096,0.00003222298,0.0001777214,0.00003985975,0.000003091346,0.0000348152,0.9989619,0.0001436462,0.0004490933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547863,"threshold_uncertainty_score":0.4857883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}