{"id":"W6961682349","doi":"10.15468/dl.qj7fxj","title":"Occurrence Download","year":2015,"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); Column (typography); Software","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":[0.001045924,0.001926063,0.001606061,0.005785913,0.0009552881,0.002614848,0.002871261,0.001938678,0.1402787],"category_scores_gemma":[0.00608501,0.0008741145,0.001203159,0.01121129,0.0004368655,0.002167666,0.002628373,0.001970873,0.1862035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680957,"about_ca_system_score_gemma":0.002604873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326535,"about_ca_topic_score_gemma":0.03722524,"domain_scores_codex":[0.9988734,0.0001470761,0.0001617658,0.0003742873,0.0002540584,0.0001892514],"domain_scores_gemma":[0.9974629,0.0006857729,0.0002684208,0.0006583527,0.0006293262,0.0002952035],"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":[0.00003272476,0.0000118996,0.000442647,0.0006088762,0.00001891708,0.00001725451,0.00002523936,0.0001268706,0.000136235,0.0004336004,0.996678,0.001467814],"study_design_scores_gemma":[0.00007709049,0.000008433528,0.002299293,0.0002150918,0.00001761341,0.00004235429,0.00007206583,0.0001400772,0.0002119757,0.0007372204,0.9961603,0.00001848822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004364656,0.00002802877,0.00004041608,0.0000317623,0.00001056557,0.000005003528,0.9989542,0.0003203,0.0005660461],"genre_scores_gemma":[0.0001472703,0.00003169002,0.0001529701,0.00003684558,0.000002870225,0.00003342492,0.9991352,0.0001037558,0.0003560534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8597213,"threshold_uncertainty_score":0.469279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}