{"id":"W6887147319","doi":"10.15468/dl.t7yv4t","title":"Occurrence Download","year":2023,"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); The Internet","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":[0.0008761896,0.001832195,0.001518477,0.005092904,0.001033794,0.002763762,0.002791503,0.001903853,0.1721681],"category_scores_gemma":[0.005981265,0.0009227607,0.001288203,0.01040337,0.0004259082,0.002369875,0.002676526,0.002061232,0.2404037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536764,"about_ca_system_score_gemma":0.002484096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02216089,"about_ca_topic_score_gemma":0.03458774,"domain_scores_codex":[0.9989944,0.0001263731,0.0001347281,0.0003611459,0.0002159359,0.0001674376],"domain_scores_gemma":[0.9977682,0.0006185547,0.0001925884,0.0006083964,0.0005715319,0.0002408156],"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":[0.00002775531,0.00001008366,0.0004058512,0.0005820998,0.00001516272,0.00001635169,0.00002738171,0.000119421,0.0001201782,0.0004396527,0.9964683,0.001767606],"study_design_scores_gemma":[0.00005266122,0.000006229463,0.001510274,0.0001786505,0.00001308639,0.00003596324,0.00007210157,0.0001282859,0.0001710983,0.0007332594,0.9970831,0.00001513147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004305634,0.00003218307,0.00005648698,0.00003992107,0.00001372878,0.000005539862,0.9985567,0.0004853431,0.000766951],"genre_scores_gemma":[0.000166862,0.00004393341,0.000234305,0.00004921755,0.000003721367,0.00004288162,0.9986712,0.0001943201,0.0005936452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8278319,"threshold_uncertainty_score":0.5759597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}