{"id":"W6924672734","doi":"10.15468/dl.v4222t","title":"Occurrence Download","year":2023,"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); Alien; 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":[0.001033671,0.001945483,0.001601005,0.005086302,0.0009958835,0.002576233,0.002814859,0.002129643,0.1557308],"category_scores_gemma":[0.005914018,0.000896083,0.001219171,0.009970425,0.0004508765,0.002298559,0.002498787,0.002005222,0.2127754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646704,"about_ca_system_score_gemma":0.002358822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317481,"about_ca_topic_score_gemma":0.03713647,"domain_scores_codex":[0.9989381,0.0001483476,0.0001348594,0.0003650988,0.0002361123,0.0001774767],"domain_scores_gemma":[0.9974069,0.0007599338,0.0002430625,0.0006815456,0.0006214596,0.0002871043],"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":[0.00002968414,0.00001201809,0.000376398,0.0005437415,0.00001530645,0.00001494045,0.00002314476,0.0001246007,0.0001166511,0.0003862627,0.9969761,0.001381117],"study_design_scores_gemma":[0.00007401998,0.000008741941,0.002060233,0.000198067,0.0000148995,0.00003770572,0.00007475443,0.0001427424,0.0001972814,0.0007765121,0.9963966,0.00001844884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004043722,0.00002596818,0.00004100826,0.00003483773,0.00001126299,0.000004898621,0.9989067,0.0003384142,0.0005964132],"genre_scores_gemma":[0.0001558341,0.00003271199,0.0001789307,0.00004338941,0.00000337244,0.00003901118,0.9989636,0.0001339705,0.0004490541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8442692,"threshold_uncertainty_score":0.5209713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}