{"id":"W6924636122","doi":"10.15468/dl.pg39zq","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); Homonym (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":[0.001000606,0.002017156,0.001663004,0.004917076,0.00101053,0.002670147,0.002898905,0.002186674,0.1558555],"category_scores_gemma":[0.006165879,0.0009095408,0.001225891,0.009529437,0.0004505919,0.002426645,0.002595212,0.002052192,0.2142339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534244,"about_ca_system_score_gemma":0.002272019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044093,"about_ca_topic_score_gemma":0.03522216,"domain_scores_codex":[0.9989451,0.0001532558,0.0001324985,0.0003771892,0.000221506,0.0001704687],"domain_scores_gemma":[0.9975291,0.0007222162,0.0002285192,0.0006646927,0.0005679186,0.0002874858],"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":[0.00003229765,0.00001193241,0.0003925102,0.0005832695,0.00001643458,0.00001558827,0.00002329203,0.0001370687,0.0001142914,0.0003784533,0.9969444,0.001350441],"study_design_scores_gemma":[0.0000833931,0.000009009865,0.001893295,0.0002022756,0.00001570535,0.00003934057,0.00007326524,0.0001681704,0.0001754335,0.0008876503,0.996433,0.00001943173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004107616,0.00002782904,0.00004273772,0.00003583475,0.0000115613,0.00000510945,0.9989048,0.0003625733,0.0005684489],"genre_scores_gemma":[0.0001620709,0.00003320055,0.0001954864,0.00004685405,0.000003423203,0.0000412674,0.9989443,0.000136703,0.0004365856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441445,"threshold_uncertainty_score":0.5213886,"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."}}