{"id":"W6905764655","doi":"10.15468/dl.u4cuzn","title":"Occurrence Download","year":2023,"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); State (computer science); Work (physics)","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":[0.0009133362,0.002091483,0.001696031,0.005218695,0.001196474,0.002939065,0.003076765,0.00231456,0.1650784],"category_scores_gemma":[0.006043084,0.0009852161,0.001539478,0.009954946,0.0004538683,0.002801345,0.002852588,0.002212554,0.2499051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164088,"about_ca_system_score_gemma":0.002435245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191674,"about_ca_topic_score_gemma":0.03175691,"domain_scores_codex":[0.9988717,0.0001504098,0.0001418402,0.000416027,0.0002339126,0.0001860952],"domain_scores_gemma":[0.9976432,0.0006405306,0.0001886325,0.0006611804,0.0006060769,0.0002604008],"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":[0.00002958429,0.00001192657,0.000373284,0.0006192947,0.00001565308,0.00001672134,0.00002310238,0.0001125008,0.0001204573,0.0003557869,0.9965977,0.00172401],"study_design_scores_gemma":[0.00006308819,0.000008666642,0.001551943,0.0002050186,0.0000149021,0.00004318741,0.00007038586,0.0001716706,0.0001934405,0.000763258,0.9968975,0.00001701234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005226382,0.00004537323,0.00006096693,0.000049824,0.00001749292,0.000007420501,0.9982784,0.0006028466,0.0008854889],"genre_scores_gemma":[0.00016499,0.00004581262,0.0002334483,0.00006205504,0.000004415025,0.00004660579,0.998715,0.0001827853,0.0005448377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349216,"threshold_uncertainty_score":0.5522423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}