{"id":"W6887116227","doi":"10.15468/dl.q5gwc6","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); 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":[0.0009710939,0.001985952,0.001615042,0.00468519,0.0009711277,0.002539709,0.002851058,0.002112081,0.1581814],"category_scores_gemma":[0.005884332,0.0009175128,0.001136381,0.009285964,0.0004412714,0.002370015,0.002524776,0.002016096,0.2239164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523023,"about_ca_system_score_gemma":0.002212681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01922433,"about_ca_topic_score_gemma":0.03435231,"domain_scores_codex":[0.9989733,0.0001470869,0.0001275332,0.0003726617,0.0002150368,0.0001643695],"domain_scores_gemma":[0.9974883,0.000707855,0.0002365236,0.0006784976,0.0006022649,0.0002866399],"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":[0.00002906321,0.00001174591,0.0003720699,0.0005146489,0.00001465722,0.00001420751,0.0000231599,0.0001316001,0.000108317,0.0003721719,0.9971105,0.001297852],"study_design_scores_gemma":[0.0000758646,0.000008281352,0.001804975,0.0001759451,0.00001410261,0.00003540621,0.00007346608,0.0001612107,0.0001831484,0.0008850966,0.9965637,0.00001888401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004001865,0.00002308296,0.00004535733,0.00003222146,0.00001065213,0.00000480504,0.9989265,0.0003483504,0.0005690389],"genre_scores_gemma":[0.0001632886,0.00002898566,0.00020811,0.00004272224,0.000003344605,0.00004250145,0.9989116,0.0001433084,0.0004560721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418186,"threshold_uncertainty_score":0.5291694,"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."}}