{"id":"W6887126882","doi":"10.15468/dl.r9nje9","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":"Geodetic datum; Coordinate system; Matching (statistics); Geographic coordinate conversion; Reprojection error","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":[0.0008366294,0.001961115,0.001506959,0.004639525,0.001020117,0.002843484,0.002766191,0.001791801,0.1741814],"category_scores_gemma":[0.005516267,0.0009242926,0.001297413,0.00951784,0.0004133372,0.002304296,0.002669706,0.001832469,0.2571262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444402,"about_ca_system_score_gemma":0.002301461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0224077,"about_ca_topic_score_gemma":0.03530335,"domain_scores_codex":[0.9989625,0.0001250248,0.0001287185,0.0003762645,0.0002246392,0.0001828835],"domain_scores_gemma":[0.9978839,0.0005318664,0.000189704,0.0005872844,0.0005701933,0.0002371272],"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":[0.00003249698,0.00001041177,0.0004499902,0.0005208712,0.0000147889,0.00001631449,0.00002590446,0.000134957,0.0001276852,0.0003909075,0.9963169,0.001958801],"study_design_scores_gemma":[0.00005238662,0.000007283979,0.001613238,0.0001463907,0.00001172882,0.0000346929,0.00007067504,0.0001582404,0.0001807922,0.0007374992,0.9969709,0.00001612287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005067497,0.00003102938,0.00006337846,0.0000381175,0.00001503753,0.000005631336,0.9983422,0.0006190278,0.0008347969],"genre_scores_gemma":[0.0001890263,0.00003831083,0.0002457044,0.00004597523,0.000004154231,0.00004162434,0.9985924,0.0002128431,0.0006298675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8258187,"threshold_uncertainty_score":0.5826948,"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."}}