{"id":"W6961765650","doi":"10.15468/dl.h7mma7","title":"Occurrence Download","year":2024,"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":[0.0009461233,0.001877947,0.001567274,0.004970917,0.001088704,0.003076797,0.002893088,0.001876372,0.2125335],"category_scores_gemma":[0.006471916,0.0009664448,0.001400403,0.00971464,0.0004178976,0.002770473,0.002928558,0.001963493,0.3023246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501197,"about_ca_system_score_gemma":0.00238237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075426,"about_ca_topic_score_gemma":0.0330583,"domain_scores_codex":[0.998897,0.0001362029,0.0001391887,0.0003949606,0.0002368199,0.0001958373],"domain_scores_gemma":[0.9974689,0.0006505122,0.0002031784,0.0007070648,0.000706159,0.000264111],"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":[0.00002686239,0.00000892828,0.0003992849,0.0004781661,0.00001389759,0.00001515352,0.00002450869,0.0001108645,0.0001091936,0.0003832676,0.9965925,0.001837467],"study_design_scores_gemma":[0.00004703728,0.000006079235,0.001450578,0.0001470273,0.00001153209,0.00003052813,0.00007207098,0.0001438985,0.000159171,0.0007453992,0.9971716,0.00001515773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004421855,0.00002887874,0.00006793688,0.0000459131,0.00001777493,0.000006194115,0.9981478,0.0006843626,0.0009568488],"genre_scores_gemma":[0.0001837792,0.00004068882,0.0002672613,0.0000565533,0.000005166229,0.00004580927,0.9984019,0.0002678528,0.0007309428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7874665,"threshold_uncertainty_score":0.7109954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}