{"id":"W6905897342","doi":"10.15468/dl.pnd23x","title":"Occurrence Download","year":2022,"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); Alien; The Internet","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":[0.001015244,0.001921224,0.001535119,0.004831234,0.001053542,0.002691769,0.002881002,0.002111221,0.1762709],"category_scores_gemma":[0.0063494,0.0009363635,0.001232559,0.009266135,0.0004344617,0.002591267,0.002671355,0.002096043,0.2451962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591267,"about_ca_system_score_gemma":0.002286507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01836059,"about_ca_topic_score_gemma":0.03141969,"domain_scores_codex":[0.9989275,0.0001550401,0.0001364425,0.0003844186,0.0002279048,0.0001685414],"domain_scores_gemma":[0.9974297,0.0007568999,0.0002189513,0.0007005145,0.0006210341,0.0002730158],"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":[0.00002593562,0.00001131242,0.000333964,0.0004981855,0.00001283066,0.00001365658,0.00002071818,0.0001042555,0.0001005952,0.0003508139,0.9971159,0.001411956],"study_design_scores_gemma":[0.00006587203,0.000008284876,0.00169023,0.0001947498,0.00001327831,0.00003749086,0.00007257024,0.0001473056,0.0001758691,0.0008058447,0.996771,0.00001740127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004146091,0.00002828365,0.00005216776,0.00004271502,0.00001420272,0.000006298537,0.9986991,0.0004135112,0.0007022557],"genre_scores_gemma":[0.0001525312,0.00003585543,0.0002196472,0.00005346403,0.000004008128,0.00005055799,0.9987875,0.0001608152,0.0005357508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.823729,"threshold_uncertainty_score":0.5896851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}