{"id":"W6924845049","doi":"10.15468/dl.z32cxg","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); Column (typography); Data set","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":[0.001134393,0.00188434,0.001687139,0.005576354,0.001023095,0.002847267,0.002921276,0.002004589,0.1781952],"category_scores_gemma":[0.00693695,0.0009998193,0.001144152,0.0113131,0.0004654792,0.002439634,0.002746121,0.002007979,0.2347742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611242,"about_ca_system_score_gemma":0.002450657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027338,"about_ca_topic_score_gemma":0.03162351,"domain_scores_codex":[0.9988288,0.0001584298,0.0001609928,0.0004009489,0.0002608242,0.0001899053],"domain_scores_gemma":[0.9971197,0.0008347473,0.0002832387,0.0007431388,0.0007007785,0.0003183754],"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":[0.00002890855,0.00001003376,0.0003695346,0.0005864846,0.00001530687,0.00001485242,0.00002535851,0.0001136126,0.0001078506,0.0004010745,0.9969845,0.001342591],"study_design_scores_gemma":[0.00006741042,0.000007039757,0.001756509,0.0002035979,0.0000144638,0.0000345847,0.000075617,0.000122311,0.0001690717,0.0007629566,0.9967691,0.0000174941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003358765,0.00002306562,0.00004209442,0.00003155451,0.00001017132,0.000004601045,0.9989587,0.0003214373,0.0005747447],"genre_scores_gemma":[0.0001570384,0.00003500127,0.0001902542,0.00004245202,0.00000339964,0.00004286233,0.9989009,0.0001656041,0.0004624494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8218048,"threshold_uncertainty_score":0.5961223,"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."}}