{"id":"W6943906286","doi":"10.15468/dl.vqdv2d","title":"Occurrence Download","year":2021,"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); Set (abstract data type); 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":[0.001048532,0.00192413,0.001668885,0.005132345,0.0009303727,0.002499474,0.002798182,0.002079747,0.1570989],"category_scores_gemma":[0.006504452,0.0009157804,0.001183173,0.01021652,0.0004340556,0.002252644,0.002437784,0.001943193,0.2101347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535763,"about_ca_system_score_gemma":0.002277914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008497,"about_ca_topic_score_gemma":0.03226196,"domain_scores_codex":[0.9989053,0.0001523432,0.0001520389,0.0003722236,0.0002399256,0.0001780924],"domain_scores_gemma":[0.9973116,0.0007828782,0.0002545235,0.0006763897,0.0006711669,0.0003034635],"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":[0.00003257083,0.00001226888,0.0004112451,0.0006302706,0.00001693374,0.00001577867,0.00002292829,0.0001429152,0.0001211351,0.0003852192,0.996752,0.001456767],"study_design_scores_gemma":[0.00008759765,0.000009548057,0.002099648,0.0002191707,0.00001636578,0.00003784261,0.00006909174,0.0001614177,0.000185796,0.0007966453,0.9962979,0.00001892184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003755904,0.00002553687,0.00003680776,0.00003096628,0.00001007753,0.000004995861,0.9990676,0.0002890757,0.0004973407],"genre_scores_gemma":[0.0001524103,0.00003236154,0.0001659527,0.00004069667,0.000003356902,0.00004091292,0.99907,0.0001156298,0.0003787251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8429011,"threshold_uncertainty_score":0.5255482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}