{"id":"W6943664471","doi":"10.15468/dl.puiuzx","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":[0.00098775,0.001918939,0.00150645,0.004601107,0.0009680954,0.002440488,0.002995102,0.002087562,0.1233752],"category_scores_gemma":[0.005766963,0.0008213768,0.00121045,0.008783123,0.0004592291,0.002334372,0.002559633,0.002083728,0.1868607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590955,"about_ca_system_score_gemma":0.00229738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02088782,"about_ca_topic_score_gemma":0.03559551,"domain_scores_codex":[0.9989554,0.0001489703,0.0001279771,0.0003548883,0.0002346422,0.0001780837],"domain_scores_gemma":[0.9975837,0.0006523771,0.0002272507,0.0006716709,0.0005805246,0.0002843361],"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":[0.00002714389,0.00001298147,0.0004284117,0.0004384482,0.00001439617,0.00001420787,0.00002260613,0.0001330398,0.0001022161,0.0003656076,0.9970918,0.00134929],"study_design_scores_gemma":[0.00007990193,0.000009836352,0.002228029,0.0002028656,0.00001511774,0.00004537711,0.00008683932,0.0002149577,0.0001993775,0.000831141,0.9960681,0.00001847182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006170615,0.00003383637,0.00005345877,0.00004501483,0.0000155306,0.000005913806,0.9986978,0.000433939,0.0006528017],"genre_scores_gemma":[0.0001635681,0.00002969545,0.0001770536,0.0000398658,0.000003334483,0.00003481999,0.9990553,0.0001137147,0.0003825652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8766248,"threshold_uncertainty_score":0.4127312,"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."}}