{"id":"W6905880202","doi":"10.15468/dl.rrfqb9","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":"Matching (statistics); Download; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0009135315,0.002074619,0.001559701,0.005131737,0.001016794,0.002448364,0.002808355,0.001931121,0.1595378],"category_scores_gemma":[0.005430914,0.0009350685,0.001161455,0.01015626,0.0004606643,0.00223729,0.002622527,0.001944732,0.2224935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511854,"about_ca_system_score_gemma":0.002283648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039339,"about_ca_topic_score_gemma":0.03539165,"domain_scores_codex":[0.9989727,0.0001378047,0.00012523,0.0003725517,0.0002184432,0.0001732969],"domain_scores_gemma":[0.9977175,0.0006101323,0.0002250989,0.0006105014,0.000564426,0.0002722801],"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":[0.00003158676,0.00001120403,0.0003784775,0.0005186815,0.00001430503,0.00001425615,0.000022479,0.0001178387,0.0001249295,0.0003824469,0.9969335,0.00145035],"study_design_scores_gemma":[0.00006877913,0.000008652085,0.001776997,0.0001661298,0.00001322467,0.00003667111,0.00006275523,0.0001231989,0.0001794787,0.0007563956,0.9967902,0.00001733315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004577165,0.00002790817,0.00004298143,0.00003097862,0.00001246908,0.000004769538,0.9988015,0.000356019,0.0006776114],"genre_scores_gemma":[0.0001497882,0.00003264188,0.0001882164,0.00004365671,0.000003510969,0.00003901531,0.9989036,0.0001479903,0.0004915398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404622,"threshold_uncertainty_score":0.5337071,"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."}}