{"id":"W6887091289","doi":"10.15468/dl.p1koy4","title":"Occurrence Download","year":2018,"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); Confidentiality; 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":[0.0009777085,0.001995445,0.001540687,0.005030726,0.0009581608,0.002550445,0.00299147,0.002023343,0.1399818],"category_scores_gemma":[0.005801126,0.0008606382,0.001211076,0.009770567,0.0004352788,0.002294427,0.00257511,0.002057812,0.1966105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565199,"about_ca_system_score_gemma":0.002261708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159454,"about_ca_topic_score_gemma":0.03428801,"domain_scores_codex":[0.9989931,0.0001381955,0.0001230473,0.000350595,0.0002281566,0.0001669428],"domain_scores_gemma":[0.9976967,0.0006324176,0.0002179704,0.0006389366,0.0005516399,0.0002623226],"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":[0.00002675444,0.00001181232,0.0003830361,0.0004483579,0.00001540799,0.00001462233,0.00002282798,0.0001344649,0.0001000391,0.0003663091,0.9970549,0.00142139],"study_design_scores_gemma":[0.00007206327,0.000008362447,0.002045213,0.0001857306,0.00001536571,0.00004134466,0.00007560511,0.0001967356,0.00020197,0.0008504772,0.9962893,0.00001783118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005328135,0.00003230722,0.00005352336,0.00004142517,0.00001347406,0.000005709468,0.9986474,0.0005002571,0.0006526944],"genre_scores_gemma":[0.0001687291,0.00003159184,0.0001909428,0.00003983487,0.000003219897,0.00003707552,0.998962,0.0001481473,0.0004184634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8600183,"threshold_uncertainty_score":0.4682857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}