{"id":"W6924774351","doi":"10.15468/dl.ot5ufk","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); Herbarium; Range (aeronautics)","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":[0.001060678,0.001946455,0.001489581,0.005801046,0.0008648278,0.002566266,0.00270665,0.001825157,0.1628307],"category_scores_gemma":[0.006252872,0.0008334634,0.00114427,0.01051862,0.0004246726,0.002399624,0.002859063,0.001918365,0.2403606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586419,"about_ca_system_score_gemma":0.002552256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041518,"about_ca_topic_score_gemma":0.03593378,"domain_scores_codex":[0.9988999,0.0001496263,0.0001406305,0.0003688744,0.0002531207,0.000187705],"domain_scores_gemma":[0.9972385,0.0007043295,0.0002670775,0.0007220402,0.000710453,0.0003575693],"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":[0.00002573698,0.000009122721,0.0003350646,0.0004568653,0.00001383384,0.0000120501,0.00001928424,0.00009205198,0.0000941321,0.0003356606,0.9973215,0.001284667],"study_design_scores_gemma":[0.00006342812,0.000007742153,0.001778846,0.0001816099,0.00001320344,0.00003236643,0.00006226815,0.00011946,0.000166864,0.0007005504,0.9968585,0.00001514443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003987872,0.00002723693,0.00003988869,0.00003468589,0.00001199,0.000005358473,0.9988294,0.0003619922,0.0006495793],"genre_scores_gemma":[0.0001440212,0.00003293182,0.0001579704,0.000042333,0.000003723139,0.00003440017,0.9990075,0.0001328674,0.0004442205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371693,"threshold_uncertainty_score":0.5447229,"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."}}