{"id":"W6887142828","doi":"10.15468/dl.on6wuy","title":"Occurrence Download","year":2019,"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); Sample (material); 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":[0.0009875633,0.001886011,0.001626362,0.005255171,0.001055505,0.002706438,0.002813632,0.001989214,0.1818043],"category_scores_gemma":[0.006271915,0.0009180938,0.001181097,0.01027628,0.0004517807,0.002426719,0.002816688,0.00203902,0.2570455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165088,"about_ca_system_score_gemma":0.002386815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285714,"about_ca_topic_score_gemma":0.03719694,"domain_scores_codex":[0.9989268,0.0001384301,0.0001344351,0.0003765195,0.0002419678,0.0001818042],"domain_scores_gemma":[0.9975364,0.0006712584,0.0002307604,0.0006459656,0.0006296925,0.0002858511],"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":[0.00002514896,0.000009293047,0.0003423454,0.0005041651,0.00001341816,0.00001349536,0.00002561272,0.0001052134,0.0001018646,0.0004006342,0.9969914,0.001467383],"study_design_scores_gemma":[0.00005000539,0.000005875871,0.001443675,0.0001829243,0.00001221181,0.00003083926,0.00006679467,0.0001106203,0.0001566375,0.0007125023,0.9972132,0.00001475589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003560202,0.00002840203,0.00004757389,0.00003481324,0.00001214456,0.000004728537,0.9986959,0.0004049815,0.0007358982],"genre_scores_gemma":[0.000152722,0.00003668013,0.0002057236,0.00004491585,0.000003432183,0.00003897812,0.9987805,0.0001923797,0.0005446251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8181957,"threshold_uncertainty_score":0.6081959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}