{"id":"W6886994633","doi":"10.15468/dl.nb5kyt","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); Field (mathematics); Reference data","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":[0.001106918,0.0019698,0.001623696,0.005145281,0.001063486,0.002683145,0.002932012,0.002006191,0.1679256],"category_scores_gemma":[0.006306775,0.0009540147,0.001150756,0.01020574,0.00045006,0.002365611,0.002604328,0.002063113,0.2281903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710384,"about_ca_system_score_gemma":0.002499657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02453545,"about_ca_topic_score_gemma":0.04015106,"domain_scores_codex":[0.9989034,0.0001464075,0.0001388434,0.0003770749,0.0002547876,0.0001794235],"domain_scores_gemma":[0.9974008,0.0007424939,0.0002410844,0.0006751743,0.0006494977,0.0002908882],"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":[0.00002625924,0.00001019547,0.0003425102,0.0004892278,0.0000138131,0.00001437945,0.00002413448,0.0001136118,0.0001125103,0.0004021999,0.9971083,0.001342814],"study_design_scores_gemma":[0.00006013213,0.000006545892,0.00166543,0.00017577,0.00001309596,0.0000332832,0.00006760695,0.0001279397,0.0001799264,0.0007237438,0.9969295,0.00001699126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003598541,0.0000235384,0.00004750909,0.00003284449,0.00001093897,0.000004772144,0.9987851,0.0003782205,0.0006811715],"genre_scores_gemma":[0.0001451605,0.00003035175,0.0001955,0.00004001322,0.000003007506,0.00003991397,0.9989078,0.0001677525,0.0004705014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320744,"threshold_uncertainty_score":0.5617671,"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."}}