{"id":"W6943788940","doi":"10.15468/dl.wq6nhy","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); 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":[0.001048355,0.001940297,0.001625467,0.005551362,0.001032638,0.002798005,0.002936077,0.002053676,0.1524304],"category_scores_gemma":[0.006208381,0.0009204535,0.001185138,0.0107757,0.0004580004,0.002406966,0.002633707,0.002077895,0.2167819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668916,"about_ca_system_score_gemma":0.002386783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02204807,"about_ca_topic_score_gemma":0.03558324,"domain_scores_codex":[0.9988512,0.0001558401,0.0001527303,0.0004034514,0.0002513354,0.0001854403],"domain_scores_gemma":[0.9974375,0.0007501594,0.0002450633,0.0006686889,0.0006146023,0.0002839229],"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":[0.0000285891,0.00001043686,0.0003702686,0.0005313573,0.00001541374,0.00001572816,0.00002468922,0.0001191444,0.0001108406,0.0004396568,0.9969477,0.001386134],"study_design_scores_gemma":[0.00006131316,0.000006948344,0.001624804,0.0001884642,0.00001413647,0.00003751982,0.00007043976,0.0001420714,0.0001768936,0.0008138833,0.9968467,0.00001662301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003834872,0.00002864014,0.00004731661,0.00003508943,0.00001198622,0.000004658217,0.9988425,0.0003668139,0.0006246249],"genre_scores_gemma":[0.0001519327,0.00003523531,0.0001862386,0.0000420473,0.000003332151,0.00003607812,0.9989422,0.0001507542,0.0004521701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8475696,"threshold_uncertainty_score":0.5099306,"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."}}