{"id":"W6962388289","doi":"10.15468/dl.sg8gk7","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":[0.000993831,0.002040203,0.00158514,0.004915886,0.001035346,0.002639081,0.002766017,0.002176323,0.1555143],"category_scores_gemma":[0.006079458,0.0008857555,0.001296993,0.009172214,0.0004497971,0.002397903,0.002559893,0.002003545,0.2239552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538875,"about_ca_system_score_gemma":0.002308175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145804,"about_ca_topic_score_gemma":0.0334452,"domain_scores_codex":[0.9989619,0.0001448968,0.0001301421,0.0003669723,0.000224587,0.0001714161],"domain_scores_gemma":[0.9974051,0.0007624296,0.0002213122,0.0006911258,0.0006368795,0.0002831993],"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":[0.00002891179,0.00001253925,0.0004022929,0.000518743,0.00001381672,0.00001576551,0.00002211796,0.0001233008,0.00011113,0.0003280216,0.9970055,0.001417816],"study_design_scores_gemma":[0.00008013978,0.00001053957,0.002118984,0.0002199715,0.00001561145,0.00004189367,0.0000856206,0.0001916711,0.0002072998,0.0008002633,0.9962085,0.00001941865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004813509,0.00002931479,0.00004544467,0.00004197321,0.00001422674,0.000006196471,0.9987675,0.0004311639,0.0006160958],"genre_scores_gemma":[0.0001684619,0.00003438112,0.0001958343,0.0000492337,0.000004096039,0.00004566654,0.9988952,0.0001462694,0.0004608271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444858,"threshold_uncertainty_score":0.520247,"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."}}