{"id":"W6924829154","doi":"10.15468/dl.tytey6","title":"Occurrence Download","year":2022,"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); Order (exchange)","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":[0.00107785,0.001946115,0.001693821,0.005275376,0.001035993,0.002766205,0.00294128,0.002098993,0.1806346],"category_scores_gemma":[0.006392269,0.0009603003,0.00117133,0.01026077,0.0004585797,0.002503711,0.002671955,0.002055942,0.2415754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583285,"about_ca_system_score_gemma":0.002318546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01949829,"about_ca_topic_score_gemma":0.0317901,"domain_scores_codex":[0.9989273,0.0001482166,0.000138525,0.0003798727,0.0002308394,0.0001752598],"domain_scores_gemma":[0.9974157,0.0007521499,0.0002384341,0.0006649402,0.000629315,0.0002994986],"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":[0.00002695909,0.00001071453,0.000328241,0.0005730232,0.00001404177,0.00001345773,0.0000221121,0.0001086354,0.0001085417,0.0003669171,0.9971123,0.001315165],"study_design_scores_gemma":[0.00007071606,0.00000768887,0.00165229,0.0002024205,0.0000140784,0.00003307391,0.00007065741,0.000123594,0.0001638023,0.0007512513,0.9968932,0.00001706179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003591124,0.00002731381,0.00004148127,0.00003515072,0.00001202805,0.00000531291,0.9988902,0.0003178913,0.0006347836],"genre_scores_gemma":[0.0001515842,0.00003586271,0.0001885399,0.00004658397,0.000003702658,0.00004622753,0.9988912,0.0001456461,0.0004906481],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8193654,"threshold_uncertainty_score":0.604283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}