{"id":"W6943216096","doi":"10.15468/dl.krzjlr","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); Order (exchange)","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":[0.001025721,0.002039575,0.001676046,0.00557383,0.0009890754,0.002629475,0.003089285,0.002052269,0.1372802],"category_scores_gemma":[0.006063416,0.0009051127,0.001219724,0.01101,0.0004704122,0.002264297,0.002683516,0.002106534,0.1985743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678401,"about_ca_system_score_gemma":0.002710656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02469106,"about_ca_topic_score_gemma":0.04089724,"domain_scores_codex":[0.9988965,0.0001439016,0.0001455894,0.0003717563,0.00025271,0.0001895028],"domain_scores_gemma":[0.9975037,0.0006666755,0.00024717,0.0006506388,0.0006334797,0.0002983183],"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":[0.00002996334,0.00001221753,0.0004210686,0.0005688926,0.00001758439,0.00001683653,0.00002518336,0.0001293121,0.0001195845,0.0004228628,0.9969224,0.001314105],"study_design_scores_gemma":[0.00008197309,0.000008102808,0.002041392,0.0002134739,0.00001671788,0.00004228613,0.00007775643,0.0001446341,0.0001963486,0.0007901377,0.9963685,0.00001863611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000435048,0.00002760614,0.00004058246,0.00003301477,0.00001111242,0.000005077748,0.9989558,0.0003198567,0.0005633031],"genre_scores_gemma":[0.0001402713,0.00003046478,0.0001503696,0.00003472647,0.000002814133,0.00003390858,0.999143,0.0001097437,0.0003548289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8627198,"threshold_uncertainty_score":0.4592481,"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."}}