{"id":"W6905998340","doi":"10.15468/dl.znjuv7","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); Order (exchange); 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":[0.001119104,0.001917168,0.001671328,0.005353105,0.00104574,0.002861785,0.002982739,0.002022956,0.1785111],"category_scores_gemma":[0.006672455,0.001016306,0.001175269,0.01078202,0.0004724879,0.002400436,0.002730005,0.002033614,0.2341724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571169,"about_ca_system_score_gemma":0.002414886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065043,"about_ca_topic_score_gemma":0.03312001,"domain_scores_codex":[0.9988583,0.0001534162,0.0001555198,0.0003960676,0.0002497906,0.000186898],"domain_scores_gemma":[0.9973112,0.0007776227,0.0002621823,0.0007033468,0.0006478063,0.0002978608],"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":[0.0000285759,0.00001012368,0.0003652634,0.0005879206,0.00001587305,0.00001573742,0.00002602987,0.0001161032,0.0001147286,0.0004102579,0.9969625,0.001346921],"study_design_scores_gemma":[0.00006689091,0.000006794645,0.001646313,0.0002001712,0.00001473649,0.00003643513,0.00007464112,0.0001198146,0.0001748034,0.0007564622,0.9968856,0.00001739977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003398561,0.00002357468,0.00004456791,0.00003143694,0.0000108953,0.000004744358,0.9989212,0.0003296787,0.0006000214],"genre_scores_gemma":[0.0001521428,0.00003393871,0.0001978356,0.00004234671,0.000003323611,0.00004229376,0.9989042,0.0001664225,0.0004574939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8214889,"threshold_uncertainty_score":0.5971791,"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."}}