{"id":"W6925036136","doi":"10.15468/dl.ru2vsr","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Real world data; 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":[0.000751855,0.002288885,0.001617188,0.004574607,0.0009668164,0.002579895,0.003162081,0.002361679,0.1214112],"category_scores_gemma":[0.005745006,0.0009084269,0.001288633,0.009935016,0.0004232976,0.002445719,0.002294636,0.002123403,0.1857814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949845,"about_ca_system_score_gemma":0.002136857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176715,"about_ca_topic_score_gemma":0.03856137,"domain_scores_codex":[0.9990688,0.0001158763,0.0001158587,0.0003222613,0.0002271079,0.0001500708],"domain_scores_gemma":[0.9979032,0.0005654478,0.0001631908,0.0006005002,0.0005430317,0.00022451],"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":[0.00002512637,0.00001325542,0.000291539,0.0004913135,0.00001312455,0.00001546316,0.00001718817,0.0001651891,0.00008762183,0.0004583751,0.9969189,0.001502856],"study_design_scores_gemma":[0.00009575635,0.000008384823,0.001463701,0.0001768178,0.0000131673,0.00004979371,0.0000640716,0.0003260674,0.0002119985,0.001328444,0.9962454,0.0000163592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006359258,0.00004564882,0.00007016049,0.0000505778,0.00001223357,0.000007879487,0.9981123,0.0007345758,0.000902945],"genre_scores_gemma":[0.0002131381,0.00004946024,0.0002664438,0.00005377974,0.00000329852,0.00004301444,0.9987547,0.0001723713,0.0004437013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8785888,"threshold_uncertainty_score":0.4061608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243884055004972,"score_gpt":0.2317224040121104,"score_spread":0.2073339985116132,"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."}}