{"id":"W6962247403","doi":"10.15468/dl.mdy4c5","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); State (computer science); Confidentiality","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":[0.001053721,0.001961156,0.001526842,0.00473467,0.001040686,0.002519642,0.002926569,0.002134835,0.1598944],"category_scores_gemma":[0.006067708,0.0009187664,0.001171552,0.009107842,0.0004707315,0.00246051,0.002623504,0.002180435,0.2254622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591896,"about_ca_system_score_gemma":0.002328013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079269,"about_ca_topic_score_gemma":0.03805215,"domain_scores_codex":[0.9989182,0.0001627973,0.0001289658,0.0003907633,0.000230902,0.0001684206],"domain_scores_gemma":[0.9973342,0.0007561266,0.000233504,0.0007529611,0.0006189393,0.0003042882],"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":[0.00002480214,0.0000116882,0.0003291265,0.0004221452,0.00001191243,0.00001230725,0.0000221564,0.0001224555,0.00009401301,0.0003581555,0.9973013,0.001290015],"study_design_scores_gemma":[0.00006628317,0.000007868339,0.00159042,0.0001630935,0.00001178047,0.00003206609,0.00007231423,0.0001636445,0.00016454,0.0008340592,0.996877,0.00001699905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004710729,0.00002650374,0.00005318163,0.00004175369,0.00001382054,0.00000596443,0.9986566,0.0004347753,0.0007201255],"genre_scores_gemma":[0.0001619096,0.00003020241,0.0002326138,0.00004714713,0.000003633818,0.00004625009,0.9987935,0.000167127,0.0005174867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8401056,"threshold_uncertainty_score":0.5349001,"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."}}