{"id":"W6943828303","doi":"10.15468/dl.rynn87","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); 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":[0.0009367932,0.001922716,0.001608945,0.005010006,0.001034099,0.002584373,0.002928874,0.002090901,0.1652585],"category_scores_gemma":[0.006250792,0.0009106863,0.001165424,0.009836165,0.0004888871,0.002287769,0.002633678,0.001994558,0.2236574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678628,"about_ca_system_score_gemma":0.002429243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02343373,"about_ca_topic_score_gemma":0.03765776,"domain_scores_codex":[0.9990735,0.0001241485,0.0001195385,0.0003304407,0.000196667,0.0001557124],"domain_scores_gemma":[0.9977559,0.0006715665,0.000207784,0.0005663636,0.0005494061,0.0002489542],"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":[0.00002936684,0.0000108002,0.0004315198,0.0006618281,0.00001643084,0.00001773889,0.00003084905,0.0001446825,0.0001354084,0.000414028,0.9964811,0.001626214],"study_design_scores_gemma":[0.00006741417,0.000007445914,0.001743404,0.0002151784,0.000015261,0.00003893868,0.00008399107,0.0001551293,0.0001821383,0.0007661512,0.9967077,0.00001717659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004147389,0.00003046304,0.00004935795,0.00003581339,0.00001300945,0.000005357007,0.9988056,0.0004054435,0.0006133302],"genre_scores_gemma":[0.0001752745,0.00003783616,0.0002219886,0.00004749956,0.000003319125,0.00004610735,0.9988402,0.0001731667,0.0004547808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8347415,"threshold_uncertainty_score":0.5528446,"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."}}