{"id":"W6962338271","doi":"10.15468/dl.yb5beu","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009546167,0.001797045,0.001558577,0.005048709,0.001065211,0.003001542,0.002721186,0.001853889,0.207133],"category_scores_gemma":[0.006711819,0.0009103717,0.001355339,0.01020415,0.0004149966,0.0025792,0.002784481,0.00192865,0.2876071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465229,"about_ca_system_score_gemma":0.002437904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044109,"about_ca_topic_score_gemma":0.03272314,"domain_scores_codex":[0.9988843,0.0001399312,0.0001451766,0.0003980504,0.0002399162,0.0001927257],"domain_scores_gemma":[0.9972952,0.0007455769,0.0002193895,0.0007286649,0.0007371086,0.0002741083],"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":[0.00002925104,0.000008969767,0.0004208029,0.0005435017,0.00001451506,0.00001624357,0.00002650435,0.0001179569,0.000116672,0.0004043496,0.9963217,0.001979548],"study_design_scores_gemma":[0.00004729645,0.000006182161,0.001460483,0.0001621897,0.00001193683,0.00003208537,0.0000717793,0.0001402994,0.0001594644,0.0007569563,0.997136,0.00001520366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004238735,0.00002988076,0.00006844009,0.00004307116,0.00001689769,0.000005986249,0.9982823,0.0006215537,0.0008895835],"genre_scores_gemma":[0.000190485,0.00004408524,0.0002851086,0.00005788753,0.000005002652,0.00004827652,0.9984136,0.000267932,0.0006876391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.792867,"threshold_uncertainty_score":0.6929289,"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."}}