{"id":"W6943642468","doi":"10.15468/dl.y6oeii","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008979996,0.002061747,0.001590925,0.005284476,0.0008777116,0.002570421,0.002868945,0.001806059,0.1454068],"category_scores_gemma":[0.005789395,0.0009036319,0.001159238,0.01093601,0.0004008374,0.002305674,0.002614858,0.001843209,0.2103814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598354,"about_ca_system_score_gemma":0.002532664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275123,"about_ca_topic_score_gemma":0.03928341,"domain_scores_codex":[0.9989406,0.0001356134,0.0001444697,0.0003655818,0.0002382899,0.0001754451],"domain_scores_gemma":[0.9976605,0.0005882221,0.0002594688,0.0006096665,0.0006047075,0.0002773259],"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":[0.00003076011,0.000009877176,0.0004202577,0.000518868,0.00001556108,0.00001421874,0.00002212546,0.0001209777,0.0001099863,0.000432653,0.9968359,0.001468806],"study_design_scores_gemma":[0.00006057901,0.000007084265,0.001720962,0.0001784343,0.00001404715,0.00003390157,0.00005386848,0.000126305,0.0001825311,0.0007828573,0.9968228,0.00001672218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004049356,0.00002827381,0.00004151765,0.00002915549,0.00001048405,0.000004260592,0.9988543,0.0003441683,0.0006474065],"genre_scores_gemma":[0.0001439223,0.0000366327,0.0001692946,0.00003856589,0.000003045634,0.00003333223,0.9989259,0.0001345895,0.0005146132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8545932,"threshold_uncertainty_score":0.4864341,"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."}}