{"id":"W6887149421","doi":"10.15468/dl.n8fmsv","title":"Occurrence Download","year":2017,"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); Identification (biology)","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":[0.0009634541,0.002023815,0.001713162,0.005686678,0.000942088,0.002717524,0.002984192,0.002022888,0.1461582],"category_scores_gemma":[0.00572465,0.000863881,0.001172728,0.01180514,0.0004463103,0.002180866,0.002654277,0.002045552,0.2065265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597929,"about_ca_system_score_gemma":0.002620146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205112,"about_ca_topic_score_gemma":0.03662573,"domain_scores_codex":[0.9989711,0.000131126,0.0001312975,0.0003465326,0.0002400048,0.0001799594],"domain_scores_gemma":[0.9976956,0.0006274894,0.0002443239,0.0005822149,0.0005650934,0.0002853125],"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":[0.0000292287,0.00001094046,0.0004247996,0.0005909897,0.00001919858,0.00001668494,0.00002513283,0.000135139,0.0001239301,0.0004261949,0.9968004,0.001397368],"study_design_scores_gemma":[0.00007534969,0.00000754961,0.00206637,0.0002054998,0.00001741635,0.0000411822,0.00007417308,0.0001378736,0.0001919108,0.0007725807,0.9963924,0.00001758935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003985531,0.00002898173,0.00003761748,0.00003036883,0.00001050085,0.000004170371,0.999002,0.0003006577,0.0005457862],"genre_scores_gemma":[0.000140068,0.00003234678,0.0001468586,0.00003232242,0.000002972314,0.00002999653,0.9991477,0.0001117314,0.0003560408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8538418,"threshold_uncertainty_score":0.4889479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}