{"id":"W6906117931","doi":"10.15468/dl.yvxxyn","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); State (computer science); Confidentiality","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":[0.001019423,0.001998124,0.001573885,0.004906022,0.001040367,0.002523002,0.00297188,0.0021743,0.1498627],"category_scores_gemma":[0.005785836,0.0008961201,0.00119747,0.009260533,0.0004771347,0.002430156,0.002591877,0.002148485,0.2092406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569581,"about_ca_system_score_gemma":0.002260257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051424,"about_ca_topic_score_gemma":0.03552088,"domain_scores_codex":[0.9989466,0.0001504875,0.000131418,0.0003704997,0.0002266418,0.0001742983],"domain_scores_gemma":[0.9975049,0.0006998568,0.0002346296,0.0006816772,0.0005885101,0.0002905434],"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":[0.00002843601,0.00001250438,0.0003695496,0.0004887485,0.00001407639,0.00001445374,0.00002345364,0.0001334988,0.0001096271,0.0003652932,0.9970713,0.001369089],"study_design_scores_gemma":[0.00007434941,0.000008676322,0.001789527,0.0001849132,0.00001384147,0.00003886307,0.00007875579,0.0001712204,0.0001852507,0.0008165705,0.9966193,0.00001852934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004772215,0.00002818732,0.00005037455,0.00003958789,0.00001439222,0.000005739766,0.9987557,0.0004010631,0.0006572515],"genre_scores_gemma":[0.0001631492,0.00003080212,0.0002109428,0.00004487549,0.000003635492,0.00004215437,0.9989163,0.0001406053,0.0004476263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8501374,"threshold_uncertainty_score":0.5013406,"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."}}