{"id":"W6943052353","doi":"10.15468/dl.lexapn","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":[0.001017948,0.001826938,0.00161745,0.00531676,0.0009278035,0.002600024,0.002807671,0.001948387,0.1668808],"category_scores_gemma":[0.006283983,0.000888935,0.001169433,0.01062367,0.0004382202,0.002195578,0.002654737,0.001876277,0.2316461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147142,"about_ca_system_score_gemma":0.00230369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01781981,"about_ca_topic_score_gemma":0.02964315,"domain_scores_codex":[0.9988983,0.0001480169,0.000149494,0.0003727052,0.0002467119,0.000184861],"domain_scores_gemma":[0.9974604,0.0006897736,0.0002582861,0.0006687243,0.0006304527,0.0002924567],"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":[0.00003218439,0.00001097494,0.000381679,0.0006403357,0.00001767346,0.00001442519,0.00002214793,0.0001167428,0.0001306614,0.0004039814,0.9967396,0.001489723],"study_design_scores_gemma":[0.00007319842,0.000007931558,0.001814373,0.0002074366,0.00001587054,0.00003389863,0.00006177495,0.000112863,0.0001940247,0.0007599446,0.9967023,0.00001637657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003570429,0.00002770311,0.00003647497,0.000030328,0.00001024362,0.000004679494,0.9989948,0.0002904176,0.0005697936],"genre_scores_gemma":[0.0001477713,0.00003568828,0.0001528337,0.00004363152,0.000003362429,0.00003753711,0.999046,0.000120314,0.0004129204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8331193,"threshold_uncertainty_score":0.5582718,"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."}}