{"id":"W6943388177","doi":"10.15468/dl.zsv2xm","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); Data set; Key (lock)","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":[0.001077833,0.001957364,0.001607434,0.004753756,0.001060071,0.002622335,0.002905081,0.002006297,0.1780868],"category_scores_gemma":[0.006165225,0.0009892399,0.001154265,0.009373993,0.0004607473,0.002322138,0.002679373,0.00208595,0.2410769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654044,"about_ca_system_score_gemma":0.002433473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192988,"about_ca_topic_score_gemma":0.03502745,"domain_scores_codex":[0.9989585,0.0001326867,0.0001305544,0.0003660895,0.000235476,0.0001768444],"domain_scores_gemma":[0.9975776,0.0006828233,0.00021746,0.0006460237,0.0005952403,0.0002808602],"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":[0.00002726784,0.00001020785,0.0003363961,0.0004831193,0.00001355215,0.00001492877,0.00002343461,0.0001056841,0.0001302963,0.0003903246,0.9971948,0.001270081],"study_design_scores_gemma":[0.00006528765,0.000007047187,0.001692156,0.0001763486,0.00001374764,0.00003711077,0.0000684238,0.0001284499,0.000205487,0.0007245537,0.9968641,0.00001722945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003614537,0.00002202888,0.00004723178,0.00003327991,0.00001149458,0.000005046958,0.9988048,0.0003906681,0.0006492237],"genre_scores_gemma":[0.0001470022,0.00002926627,0.0001965402,0.00004370228,0.000003016697,0.00004207098,0.9988997,0.0001790014,0.0004596419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8219132,"threshold_uncertainty_score":0.5957595,"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."}}