{"id":"W6905871934","doi":"10.15468/dl.pdyks4","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); Data set; Set (abstract data type)","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":[0.0008869062,0.001815168,0.001470446,0.004678504,0.0009233381,0.002297247,0.002758442,0.002049989,0.1393637],"category_scores_gemma":[0.005428395,0.0008216535,0.001136062,0.009279386,0.0004243448,0.002179808,0.002485442,0.00191819,0.1924637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509511,"about_ca_system_score_gemma":0.002168132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007641,"about_ca_topic_score_gemma":0.03354786,"domain_scores_codex":[0.9990891,0.0001241238,0.0001216354,0.000317958,0.0001920373,0.000155255],"domain_scores_gemma":[0.9979242,0.0005760433,0.0002064771,0.00054589,0.0004954704,0.0002518804],"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":[0.00003122104,0.00001246597,0.000442133,0.0006000134,0.00001653166,0.00001607468,0.00002536585,0.0001522644,0.0001312047,0.0004126765,0.9966089,0.001551157],"study_design_scores_gemma":[0.00007526069,0.00000885641,0.001957133,0.0002080227,0.00001526488,0.00003854979,0.00007712549,0.0001744521,0.0001882245,0.0007523414,0.9964881,0.00001669649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004889405,0.00003001221,0.00004150538,0.00003709075,0.00001305037,0.000005036734,0.9988914,0.0003344786,0.0005984902],"genre_scores_gemma":[0.0001694777,0.00003435165,0.000179956,0.00004268858,0.000003340846,0.00003694347,0.9990018,0.0001106197,0.0004208883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8606362,"threshold_uncertainty_score":0.4662181,"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."}}