{"id":"W6905701251","doi":"10.15468/dl.kt0ail","title":"Occurrence Download","year":2016,"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); Confidentiality; 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":[0.001015918,0.001933595,0.001641699,0.005464877,0.0008719499,0.002505089,0.002821829,0.002029306,0.1364177],"category_scores_gemma":[0.00626091,0.0008574749,0.00119099,0.01071132,0.0004241968,0.002262246,0.002491083,0.001920125,0.1965408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529861,"about_ca_system_score_gemma":0.002379433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969351,"about_ca_topic_score_gemma":0.03278548,"domain_scores_codex":[0.9988846,0.0001488268,0.0001556399,0.0003838872,0.0002464203,0.0001807267],"domain_scores_gemma":[0.997416,0.0006960127,0.0002733192,0.0006844481,0.0006283575,0.0003017092],"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":[0.00003101473,0.00001207691,0.0004618884,0.0005904585,0.00001838154,0.00001579266,0.00002252736,0.0001417934,0.0001144393,0.000363533,0.996702,0.001526078],"study_design_scores_gemma":[0.0000803837,0.000009592887,0.002301049,0.0002310574,0.00001787967,0.00004483962,0.00006899695,0.000166935,0.0001918219,0.0007364105,0.9961323,0.00001870446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004469564,0.00003315517,0.00003754623,0.00003262101,0.00001116497,0.00000487278,0.9990087,0.0003007558,0.0005265111],"genre_scores_gemma":[0.0001563988,0.00003549484,0.0001544588,0.00003771613,0.000003355283,0.00003437284,0.999108,0.00009593026,0.000374216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8635823,"threshold_uncertainty_score":0.4563626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}