{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001004365,0.0002061324,0.000174065,0.00007010337,0.0001275653,0.0001053313,0.0002742994,0.0002496084,0.0003677328],"category_scores_gemma":[0.00005165116,0.0002127719,0.00008446166,0.00031124,0.00005014561,0.0005716557,0.000154592,0.0001846013,0.4342546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394934,"about_ca_system_score_gemma":0.00003145324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000354031,"about_ca_topic_score_gemma":0.00003190678,"domain_scores_codex":[0.9991133,0.00001428342,0.0002673937,0.0001109884,0.0002751642,0.0002189158],"domain_scores_gemma":[0.9994501,0.000007984466,0.00005781439,0.0002928361,0.0001033749,0.00008792061],"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":[0.000008647052,0.000004522222,0.00006597612,0.0002853475,0.00002050476,8.355972e-7,0.00001798064,0.001134637,3.733368e-8,2.190882e-8,0.9965705,0.001891019],"study_design_scores_gemma":[0.0001257679,0.00001170805,0.00005324244,0.000003299841,0.00002374193,0.000001028852,0.00005998404,0.00002089709,0.000001993151,4.22585e-7,0.999475,0.0002229013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002027321,0.00002830043,0.00001440861,0.00002731016,0.001084123,0.0001891068,0.9978343,0.000511021,0.0001086678],"genre_scores_gemma":[0.00002073141,0.0002593491,2.843158e-7,0.00007396562,0.000001737016,0.000003017738,0.9996408,2.357769e-8,1.522792e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4338868,"threshold_uncertainty_score":0.8676585,"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."}}