{"id":"W6962596758","doi":"10.15468/dl.z8wmqv","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009280183,0.002065181,0.001525128,0.004816589,0.0009879251,0.002479467,0.002678297,0.001963694,0.1609901],"category_scores_gemma":[0.005927584,0.0009400696,0.001206948,0.009839031,0.0004408905,0.002240082,0.002539281,0.001834,0.2165386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505706,"about_ca_system_score_gemma":0.002357025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123573,"about_ca_topic_score_gemma":0.03438319,"domain_scores_codex":[0.9989733,0.0001389468,0.0001319354,0.000370098,0.0002126327,0.0001731338],"domain_scores_gemma":[0.9976079,0.0006922958,0.0002242769,0.0006069716,0.0005965496,0.0002720015],"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":[0.00003309409,0.00001178215,0.0003925971,0.0005513509,0.00001439238,0.00001501255,0.00002197788,0.0001283308,0.0001270935,0.000372719,0.9968916,0.001440052],"study_design_scores_gemma":[0.00007843533,0.00001039405,0.001913931,0.0001890399,0.00001507837,0.00003750102,0.00006854293,0.0001541422,0.0002038743,0.0007968955,0.9965134,0.0000187984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004525088,0.0000258288,0.00004106715,0.00003320623,0.00001172438,0.00000502087,0.9988332,0.0003709802,0.0006335995],"genre_scores_gemma":[0.0001590969,0.00003287082,0.0001863396,0.00004494653,0.000003336272,0.00003961319,0.9989234,0.000146155,0.0004642866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390099,"threshold_uncertainty_score":0.5385656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}