{"id":"W6905807369","doi":"10.15468/dl.w4re8f","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":[0.0008506115,0.002009594,0.001512229,0.004689713,0.001016863,0.002902462,0.00280805,0.001793102,0.1718888],"category_scores_gemma":[0.005499423,0.0009228733,0.001348077,0.00973581,0.0004090253,0.002368545,0.002713015,0.001874894,0.2585379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140778,"about_ca_system_score_gemma":0.002245392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02216981,"about_ca_topic_score_gemma":0.03515666,"domain_scores_codex":[0.9989523,0.0001289445,0.0001277019,0.0003822129,0.0002232888,0.0001855686],"domain_scores_gemma":[0.9978725,0.0005292089,0.000186107,0.0006066825,0.0005703662,0.0002350366],"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":[0.00003192029,0.00001029862,0.0004375826,0.0005109048,0.00001529883,0.00001604589,0.00002622525,0.0001347851,0.000128632,0.0003836852,0.9963241,0.001980602],"study_design_scores_gemma":[0.00005110244,0.000007543456,0.001633578,0.000144262,0.00001240647,0.00003535016,0.00007045193,0.0001668302,0.0001804913,0.0007482105,0.9969332,0.0000164412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000499662,0.00003154266,0.00006760839,0.00003798974,0.00001546068,0.000005577128,0.9983035,0.0006617928,0.0008265837],"genre_scores_gemma":[0.0001823872,0.00003836752,0.0002544889,0.00004647387,0.000004259412,0.00004095957,0.998591,0.0002252347,0.0006168019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8281112,"threshold_uncertainty_score":0.5750253,"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."}}