{"id":"W6962240172","doi":"10.15468/dl.rchmet","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Linguistic research and analysis","field":"Arts and Humanities","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003046662,0.0002066471,0.00025033,0.0001270381,0.0009863011,0.0004668676,0.0005983189,0.00008084884,0.4492078],"category_scores_gemma":[0.0002940363,0.0001954211,0.0002139777,0.000109671,0.0003072293,0.0005335842,0.000445793,0.0003463069,0.117161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752001,"about_ca_system_score_gemma":0.0001612118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553805,"about_ca_topic_score_gemma":0.0001549545,"domain_scores_codex":[0.9983623,0.00008070637,0.0003312939,0.000184079,0.0007465948,0.0002950341],"domain_scores_gemma":[0.9988765,0.00002600333,0.0002200884,0.0003998503,0.0003291695,0.0001483785],"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":[0.00002858854,0.00003593387,0.0000631815,0.000107485,0.00006695827,0.000004410681,0.0007081471,0.00000171197,1.061574e-9,0.000005612718,0.9984258,0.0005521068],"study_design_scores_gemma":[0.0001654748,0.00003947519,0.000001664453,7.685689e-7,0.00006606323,7.496751e-7,0.001394706,1.465134e-7,8.156054e-8,0.000007439414,0.9981123,0.0002111131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005961621,0.00002164486,3.363646e-7,0.0001278847,0.0007242355,0.0001649894,0.9968252,0.00005797524,0.002018108],"genre_scores_gemma":[0.00001170616,0.00005840421,1.243585e-7,0.0003968682,0.00000796397,0.000006070314,0.999516,9.936345e-9,0.00000292439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3320468,"threshold_uncertainty_score":0.8835264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050028289751169,"score_gpt":0.2363927744657073,"score_spread":0.2058924915681956,"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."}}