{"id":"W6924707286","doi":"10.15468/dl.qm8pbk","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); The Internet","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":[0.001030523,0.002095497,0.001582277,0.005146843,0.001080749,0.002598094,0.002930813,0.002322563,0.1205387],"category_scores_gemma":[0.005802007,0.0008818507,0.001317418,0.009553988,0.0004907844,0.002256173,0.002494332,0.002172354,0.1914563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683666,"about_ca_system_score_gemma":0.002435585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302697,"about_ca_topic_score_gemma":0.03795578,"domain_scores_codex":[0.9988827,0.0001541985,0.0001485055,0.0003915437,0.0002445959,0.0001785309],"domain_scores_gemma":[0.997477,0.0007292309,0.0002313312,0.0006764628,0.0006088194,0.000277268],"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":[0.00003279432,0.00001555356,0.0004397021,0.0005625578,0.00001582651,0.00001830139,0.0000262096,0.000151398,0.0001320824,0.000398777,0.996747,0.001459607],"study_design_scores_gemma":[0.00007834251,0.00001023216,0.002169078,0.0002134263,0.00001605051,0.00004474639,0.00008580028,0.0001906526,0.00021517,0.0007927782,0.9961641,0.00001948467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005113703,0.00003015529,0.00004582172,0.00003841835,0.0000124039,0.000006099973,0.9988457,0.0003788207,0.0005913557],"genre_scores_gemma":[0.0001529694,0.00003223035,0.000191195,0.00004262326,0.000003151349,0.00004050164,0.9990239,0.0001087857,0.0004046938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8794613,"threshold_uncertainty_score":0.4032421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673993443270122,"score_gpt":0.1957448057828469,"score_spread":0.1790048713501457,"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."}}