{"id":"W6943545027","doi":"10.15468/dl.qvbjwc","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); Set (abstract data type); 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":[0.0009992023,0.002021234,0.001578227,0.005138383,0.0009495962,0.002589606,0.00300952,0.002120637,0.1282954],"category_scores_gemma":[0.005833931,0.000837261,0.001220016,0.009930153,0.0004531384,0.002435256,0.002495703,0.002058542,0.2012626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641865,"about_ca_system_score_gemma":0.002417177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065822,"about_ca_topic_score_gemma":0.03362711,"domain_scores_codex":[0.9988845,0.0001586026,0.0001412104,0.000381854,0.0002467829,0.0001870896],"domain_scores_gemma":[0.9975345,0.0006798588,0.0002361646,0.0006548934,0.0006119117,0.0002826348],"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":[0.00002826969,0.00001243657,0.0004224388,0.0004813324,0.00001575866,0.00001450577,0.00002038745,0.0001337897,0.0001015058,0.0003739895,0.9970579,0.001337732],"study_design_scores_gemma":[0.00007799336,0.000009417396,0.002070773,0.0002060511,0.00001615243,0.0000424571,0.00007718343,0.000212465,0.0001950631,0.0008585593,0.9962158,0.00001815157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005048106,0.0000341846,0.00004412864,0.00004003878,0.00001299241,0.00000522184,0.9988657,0.0003511627,0.0005960444],"genre_scores_gemma":[0.0001525683,0.00003313151,0.0001480937,0.00003724806,0.00000339148,0.00003096094,0.9991266,0.00009516581,0.0003728111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8717046,"threshold_uncertainty_score":0.429191,"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."}}