{"id":"W6924564135","doi":"10.15468/dl.yzpbnp","title":"Occurrence Download","year":2023,"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); Alien; 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":[0.001105876,0.001993302,0.001625034,0.004865981,0.001037704,0.002616363,0.002889499,0.002217504,0.1452316],"category_scores_gemma":[0.006177162,0.000909838,0.001270322,0.009413274,0.0004624354,0.00235295,0.002489343,0.002117582,0.212612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650749,"about_ca_system_score_gemma":0.002415564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195558,"about_ca_topic_score_gemma":0.03585936,"domain_scores_codex":[0.9988657,0.0001641006,0.00014276,0.0003970059,0.0002508747,0.0001794828],"domain_scores_gemma":[0.9973345,0.0007982681,0.0002379515,0.0007060706,0.0006285338,0.000294725],"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":[0.00003058563,0.00001293985,0.0003805839,0.0005197984,0.00001544299,0.00001468168,0.0000220744,0.0001305786,0.0001168191,0.0003723219,0.9970331,0.001351021],"study_design_scores_gemma":[0.00008210493,0.000009641577,0.002089483,0.0002015345,0.00001574682,0.0000390041,0.00007541489,0.0001703267,0.0002127825,0.0008513387,0.9962328,0.00001980927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004304419,0.00002665044,0.00004377519,0.0000374484,0.00001207446,0.0000053137,0.9988949,0.0003569007,0.0005798668],"genre_scores_gemma":[0.0001522824,0.0000307459,0.0001849106,0.00004248976,0.000003347823,0.0000412484,0.9989939,0.0001269816,0.0004239357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547684,"threshold_uncertainty_score":0.4858481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}