{"id":"W6962419658","doi":"10.15468/dl.xdjc5d","title":"Occurrence Download","year":2019,"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; Set (abstract data type)","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":[0.0009761694,0.001967812,0.00175356,0.005724341,0.001064064,0.002766264,0.003029554,0.002014157,0.1672358],"category_scores_gemma":[0.006257202,0.0009253359,0.001147842,0.01206262,0.0004602322,0.002427576,0.002761387,0.002035093,0.2370245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710086,"about_ca_system_score_gemma":0.002583964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02630136,"about_ca_topic_score_gemma":0.04412694,"domain_scores_codex":[0.9988746,0.0001402894,0.0001436733,0.0003768985,0.0002730673,0.0001913928],"domain_scores_gemma":[0.9974148,0.0006627839,0.0002435775,0.0006727116,0.0007043257,0.000301624],"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":[0.00002578166,0.000009641091,0.0003321092,0.0004872859,0.00001335906,0.00001391655,0.00002415233,0.0001083396,0.00009993061,0.0004035482,0.9970807,0.001401253],"study_design_scores_gemma":[0.00005579002,0.000005948575,0.001488799,0.0001743757,0.00001243323,0.00003208246,0.00007103416,0.0001198956,0.0001700485,0.0007623131,0.9970911,0.00001612438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000369807,0.00002732302,0.00004623372,0.00003245651,0.00001073926,0.000004550519,0.9987143,0.0004011636,0.00072626],"genre_scores_gemma":[0.0001550467,0.00003466287,0.0001964507,0.00003959394,0.000003168311,0.00003625505,0.9988523,0.0001701285,0.0005124035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327641,"threshold_uncertainty_score":0.5594596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}