{"id":"W6962445964","doi":"10.15468/dl.x3g3yc","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; 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":[0.0009784236,0.002015795,0.00154695,0.004923202,0.001060895,0.002576141,0.002758695,0.002160484,0.1654918],"category_scores_gemma":[0.006272033,0.0008830131,0.001276484,0.009059702,0.0004504603,0.002471774,0.002576537,0.002003592,0.2361839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527729,"about_ca_system_score_gemma":0.002291542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115754,"about_ca_topic_score_gemma":0.03354772,"domain_scores_codex":[0.9989442,0.0001499146,0.0001288941,0.0003754472,0.0002301759,0.0001713436],"domain_scores_gemma":[0.9973089,0.0007927006,0.0002222636,0.0007274604,0.0006614673,0.0002871864],"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":[0.00002790953,0.00001163065,0.0003626071,0.0004724649,0.00001259645,0.00001488129,0.00002169016,0.0001189398,0.0001030917,0.0003252447,0.9971256,0.001403427],"study_design_scores_gemma":[0.0000727486,0.000009370232,0.001845676,0.0001927357,0.0000138259,0.0000377857,0.00008034863,0.0001775083,0.0001910078,0.000812585,0.9965478,0.00001864194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004700427,0.00002798951,0.00004940302,0.00004467565,0.00001502285,0.000006434303,0.9986533,0.0004676602,0.0006884922],"genre_scores_gemma":[0.0001686504,0.00003354988,0.0002134211,0.00005110948,0.000004220189,0.0000477107,0.9988093,0.0001624453,0.0005095758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345082,"threshold_uncertainty_score":0.5536252,"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."}}