{"id":"W4396416072","doi":"10.15468/dl.ja88de","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001009034,0.002014117,0.001637822,0.005077346,0.0009694278,0.002484782,0.002824623,0.002024645,0.1889774],"category_scores_gemma":[0.005964342,0.0009489083,0.001282231,0.009464611,0.0004411427,0.002350459,0.002806555,0.002006287,0.2487397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716684,"about_ca_system_score_gemma":0.002523647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02482249,"about_ca_topic_score_gemma":0.04200714,"domain_scores_codex":[0.9988932,0.0001393929,0.0001418363,0.0003827889,0.0002528654,0.000189858],"domain_scores_gemma":[0.9974226,0.0006587902,0.0002331241,0.0006574336,0.0007111448,0.0003168792],"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":[0.00002811996,0.000008825396,0.0003007686,0.0005024392,0.0000139415,0.00001205215,0.00001880268,0.00009721829,0.0001060057,0.0003136432,0.9973195,0.001278665],"study_design_scores_gemma":[0.00007673126,0.000007784998,0.001769502,0.0001947113,0.00001413817,0.00003134062,0.00005977877,0.0001294162,0.0001876976,0.0007106136,0.9968011,0.00001721932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000317749,0.00002204605,0.0000384513,0.00003023539,0.00001043075,0.000005284213,0.9989465,0.0003428541,0.0005723758],"genre_scores_gemma":[0.0001428599,0.00003257801,0.0001797103,0.00004640003,0.000003445966,0.00004271637,0.9989325,0.0001577773,0.0004619289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8110226,"threshold_uncertainty_score":0.6321924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484850230871555,"score_gpt":0.2268166199254699,"score_spread":0.2019681176167544,"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."}}