{"id":"W6962347104","doi":"10.15468/dl.usntxm","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":[0.0007932112,0.001873252,0.001468384,0.004804159,0.0009896873,0.002745203,0.002635679,0.001719502,0.1703616],"category_scores_gemma":[0.005355251,0.0008855006,0.001242056,0.01016122,0.0004077766,0.002181327,0.002565646,0.001743996,0.2464235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411796,"about_ca_system_score_gemma":0.002231766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0235832,"about_ca_topic_score_gemma":0.03726456,"domain_scores_codex":[0.9989954,0.0001233886,0.0001242767,0.0003597412,0.0002180806,0.0001791446],"domain_scores_gemma":[0.997903,0.0005329388,0.0001900141,0.0005664141,0.0005761525,0.0002315574],"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":[0.00003154403,0.00001019407,0.0004795139,0.0005264273,0.00001508949,0.00001669172,0.00002691045,0.0001460235,0.000128159,0.0003864325,0.9961671,0.002065787],"study_design_scores_gemma":[0.00005167143,0.000007412161,0.001826274,0.000154133,0.00001226101,0.00003629051,0.0000764967,0.0001633504,0.0001707192,0.0007061565,0.9967789,0.00001629778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005326714,0.00003178227,0.0000598492,0.00003617503,0.00001389201,0.000005115442,0.9984714,0.0005313117,0.0007971283],"genre_scores_gemma":[0.0001929236,0.00003901367,0.0002353755,0.00004315094,0.000003982462,0.00003900344,0.9986454,0.000184506,0.0006166246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296384,"threshold_uncertainty_score":0.5699164,"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."}}