{"id":"W6962461666","doi":"10.15468/dl.kh8n3j","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":[0.001008624,0.001948762,0.00165524,0.005097738,0.001018001,0.002734335,0.002825473,0.002096843,0.1606556],"category_scores_gemma":[0.005904731,0.0009189122,0.001164872,0.009874054,0.0004339362,0.002504665,0.002611927,0.002063337,0.2241056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550456,"about_ca_system_score_gemma":0.002272298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0193956,"about_ca_topic_score_gemma":0.03384296,"domain_scores_codex":[0.9989243,0.0001492019,0.0001353913,0.0003834117,0.0002318901,0.000175797],"domain_scores_gemma":[0.9974918,0.0007117077,0.0002329647,0.000666122,0.0006013287,0.0002961081],"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":[0.00002940862,0.00001150266,0.0003597338,0.0005389573,0.00001491986,0.00001460739,0.00002273398,0.000116317,0.000114162,0.0003975627,0.9970713,0.00130883],"study_design_scores_gemma":[0.00006849569,0.000007806412,0.001753065,0.0001822167,0.00001379041,0.00003499803,0.00006835474,0.0001339189,0.0001701665,0.0007798871,0.9967701,0.00001727254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003943794,0.00002679776,0.00004363121,0.00003449634,0.00001137414,0.000004904881,0.9988726,0.0003328448,0.0006339796],"genre_scores_gemma":[0.0001497951,0.0000330527,0.000182943,0.00004426654,0.000003342958,0.00003854223,0.9989282,0.0001368504,0.00048305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8393444,"threshold_uncertainty_score":0.5374467,"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."}}