{"id":"W6924944925","doi":"10.15468/dl.t0kg6d","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Natural history; Matching (statistics); Entomology; Range (aeronautics); Data collection","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":[0.0006255934,0.0001975463,0.0002143918,0.0000715053,0.0008411927,0.0002104676,0.0007190784,0.0005009192,0.005449026],"category_scores_gemma":[0.0007608341,0.00021034,0.0001167924,0.0003177919,0.0009378077,0.001116032,0.000172139,0.0002310348,0.3257367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004288726,"about_ca_system_score_gemma":0.0006974167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008011298,"about_ca_topic_score_gemma":0.0004232552,"domain_scores_codex":[0.9981305,0.0001444263,0.0003257651,0.0001683123,0.0007695633,0.0004614314],"domain_scores_gemma":[0.9985088,0.00004196184,0.0002632891,0.0003957109,0.0004693332,0.0003209153],"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":[0.00001127215,0.00001454351,0.001003287,0.0000537797,0.00001229283,9.842946e-7,0.000723734,2.629451e-7,2.28334e-9,0.000002137428,0.9978009,0.000376824],"study_design_scores_gemma":[0.0001232144,0.00002306228,0.00002855893,0.000002861276,0.00003356369,5.011859e-7,0.0007452923,9.622425e-9,5.871541e-7,0.000005716557,0.9988129,0.0002237597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005790835,0.000009519182,7.305333e-7,0.0003231986,0.001486777,0.0002871007,0.9956168,0.00008201191,0.001614773],"genre_scores_gemma":[0.000007867646,0.0001667952,0.000001212177,0.001369577,0.00001482843,0.000002816164,0.9984365,6.950676e-9,4.398144e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3202876,"threshold_uncertainty_score":0.9985945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655425860677568,"score_gpt":0.2781335761860486,"score_spread":0.2515793175792729,"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."}}