{"id":"W6961783797","doi":"10.15468/dl.kfc8oa","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; Confidentiality","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":[0.001026982,0.001908112,0.001609572,0.005447164,0.0008557147,0.002543411,0.002791487,0.00194652,0.1452041],"category_scores_gemma":[0.006354661,0.0008663165,0.001190357,0.01067162,0.0004285039,0.00215055,0.00252578,0.001869092,0.1997197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525049,"about_ca_system_score_gemma":0.002430551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063807,"about_ca_topic_score_gemma":0.03354292,"domain_scores_codex":[0.9988903,0.0001485565,0.0001546925,0.000375601,0.0002482356,0.0001825265],"domain_scores_gemma":[0.9974409,0.000691521,0.0002732861,0.000666833,0.0006303184,0.0002971193],"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":[0.00003122664,0.00001116373,0.0004259289,0.0006054545,0.00001878883,0.00001450835,0.00002154631,0.000134813,0.0001207906,0.0003729917,0.9967675,0.001475368],"study_design_scores_gemma":[0.00007885072,0.000009119699,0.002231611,0.0002282492,0.00001787922,0.00003817203,0.00006513053,0.0001493202,0.0001968986,0.0007412531,0.9962261,0.00001753449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000409393,0.00003072283,0.00003756949,0.00003173637,0.00001052955,0.000004875841,0.9989995,0.0003085283,0.0005356216],"genre_scores_gemma":[0.0001511667,0.00003449478,0.0001465748,0.00003950376,0.000003222744,0.00003368726,0.9991236,0.00010116,0.0003665911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547959,"threshold_uncertainty_score":0.485756,"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."}}