{"id":"W6943647336","doi":"10.15468/dl.zadbjs","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); 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":[0.001016393,0.001899516,0.001653172,0.005904248,0.000901896,0.002641129,0.002771261,0.001881397,0.1604033],"category_scores_gemma":[0.006119938,0.0009037442,0.001172382,0.0115612,0.0004250608,0.002249044,0.002681806,0.001907535,0.2226566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635875,"about_ca_system_score_gemma":0.002590443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02290333,"about_ca_topic_score_gemma":0.03833754,"domain_scores_codex":[0.9988728,0.0001466918,0.0001519196,0.0003713855,0.0002647366,0.0001924182],"domain_scores_gemma":[0.9974613,0.0006624129,0.0002712847,0.0006437477,0.0006527815,0.0003085098],"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":[0.00002877086,0.000009442148,0.0003862034,0.0005869208,0.00001745439,0.00001244188,0.00002125926,0.0001157189,0.0001046138,0.0003800998,0.9969118,0.001425285],"study_design_scores_gemma":[0.00006796794,0.000007700804,0.002028682,0.0002176508,0.00001663742,0.00003312433,0.00006145741,0.0001158255,0.0001680943,0.0006970224,0.9965693,0.00001661473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003570725,0.00003099605,0.00003562762,0.00002969144,0.000009547808,0.000004381071,0.99897,0.0002959867,0.0005880027],"genre_scores_gemma":[0.0001452824,0.00003854613,0.000148035,0.00004078981,0.000003139113,0.00003135288,0.9990558,0.000111438,0.0004256623],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8395966,"threshold_uncertainty_score":0.5366026,"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."}}