{"id":"W6887107461","doi":"10.15468/dl.pvq3ab","title":"Occurrence Download","year":2015,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001006342,0.001980616,0.001641792,0.005352164,0.000963809,0.002737723,0.00296514,0.001969498,0.144367],"category_scores_gemma":[0.005961083,0.0009002374,0.001181548,0.01116899,0.0004232668,0.002427272,0.002659216,0.002028273,0.2073543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674964,"about_ca_system_score_gemma":0.00260729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02565108,"about_ca_topic_score_gemma":0.04408125,"domain_scores_codex":[0.9988802,0.000148296,0.0001450274,0.0003882457,0.0002577773,0.0001804443],"domain_scores_gemma":[0.9974869,0.0006668866,0.0002565828,0.0006834277,0.0006043221,0.0003018568],"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":[0.00002528097,0.000009930431,0.0003687367,0.0004517196,0.0000151983,0.000013844,0.00002359792,0.0001152728,0.00009261262,0.000423756,0.997173,0.001286922],"study_design_scores_gemma":[0.00005926994,0.000006540821,0.001840282,0.0001692064,0.0000137423,0.00003493333,0.00006599597,0.0001415982,0.0001689443,0.0007710267,0.9967121,0.00001651439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004368953,0.00002897663,0.00004998354,0.00003542468,0.00001146219,0.000004658221,0.998753,0.0004056238,0.000667239],"genre_scores_gemma":[0.0001482037,0.00003258796,0.0001758801,0.00003741448,0.00000289703,0.00003193419,0.9989763,0.0001347702,0.0004599157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.855633,"threshold_uncertainty_score":0.4829557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}