{"id":"W6924874564","doi":"10.15468/dl.z92tc9","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":[0.0009210698,0.001815821,0.00158404,0.004888652,0.001065091,0.002998074,0.002735404,0.001842128,0.2030215],"category_scores_gemma":[0.006184022,0.0009261183,0.001375512,0.009815993,0.0004140932,0.002588164,0.002820017,0.001917711,0.2859816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431004,"about_ca_system_score_gemma":0.002332875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960442,"about_ca_topic_score_gemma":0.03135426,"domain_scores_codex":[0.9989402,0.0001288877,0.0001349676,0.0003865517,0.0002254958,0.0001839499],"domain_scores_gemma":[0.9975322,0.0006540443,0.0002013716,0.0006942203,0.0006569148,0.0002612835],"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":[0.00002960996,0.000009117626,0.0004307369,0.0005336954,0.00001531092,0.00001598523,0.00002674705,0.0001181778,0.0001246851,0.0003922505,0.9963407,0.001962918],"study_design_scores_gemma":[0.00004958332,0.000006467134,0.001581128,0.0001562715,0.00001269635,0.00003366764,0.00007411434,0.000147182,0.0001726818,0.0007671866,0.996983,0.00001595816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004628964,0.00003121218,0.00006874815,0.00004291622,0.00001747315,0.000006018529,0.998211,0.0006759936,0.0009003376],"genre_scores_gemma":[0.0001989846,0.00004368656,0.0002803016,0.00005572149,0.000005007053,0.00004734766,0.9984119,0.0002733373,0.0006836166],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7969785,"threshold_uncertainty_score":0.6791747,"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."}}