{"id":"W6924377447","doi":"10.15468/dl.luwkqn","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; The Internet","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":[0.000948596,0.001887171,0.001592825,0.005004015,0.001034958,0.002979852,0.002959113,0.001931916,0.1955425],"category_scores_gemma":[0.006692293,0.0009722554,0.001258592,0.01058854,0.000458713,0.002576396,0.002876472,0.002111248,0.2665374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170877,"about_ca_system_score_gemma":0.002560113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02521384,"about_ca_topic_score_gemma":0.03998095,"domain_scores_codex":[0.9989848,0.0001295867,0.0001301215,0.0003625035,0.0002249851,0.0001680022],"domain_scores_gemma":[0.9975534,0.0007048157,0.0002145136,0.0006326842,0.0006166104,0.0002780095],"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":[0.00002353929,0.000008570219,0.0003179497,0.000505221,0.0000133168,0.00001315515,0.00002297491,0.00009911008,0.00008556944,0.0003878354,0.997107,0.001415791],"study_design_scores_gemma":[0.00005319742,0.000005732323,0.001401788,0.0001875514,0.00001264766,0.00003154594,0.00006648853,0.0001212374,0.0001464912,0.0007868404,0.9971713,0.00001527337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003109364,0.00002745352,0.00004674595,0.000038477,0.00001317032,0.000005164364,0.9986833,0.0004255391,0.0007290335],"genre_scores_gemma":[0.0001508634,0.00004225178,0.0002151154,0.00005172631,0.000003815029,0.00004612983,0.998683,0.0002091682,0.0005978969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8044574,"threshold_uncertainty_score":0.654155,"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."}}