{"id":"W6924655934","doi":"10.15468/dl.x2fuu6","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); 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":[0.001029433,0.001874961,0.001574949,0.005926224,0.0009521918,0.002541192,0.00266503,0.00189391,0.1947463],"category_scores_gemma":[0.006131025,0.0009480228,0.001171378,0.01080032,0.000431608,0.002362579,0.002910962,0.001930843,0.2575464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519294,"about_ca_system_score_gemma":0.002531389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02156212,"about_ca_topic_score_gemma":0.03889833,"domain_scores_codex":[0.9988838,0.0001414758,0.0001459081,0.000380845,0.0002567645,0.0001912978],"domain_scores_gemma":[0.997205,0.0007280578,0.000267836,0.0007173215,0.0007402301,0.0003415676],"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":[0.00002652604,0.000008825262,0.0003138239,0.0005339918,0.00001408744,0.00001268479,0.00002259674,0.00009230383,0.000123986,0.0003497953,0.9970114,0.001489959],"study_design_scores_gemma":[0.00005830358,0.000006789516,0.001704709,0.0001881933,0.00001360934,0.00003096415,0.00006172514,0.00009435497,0.0001778312,0.0006752932,0.9969714,0.00001693096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003187662,0.00002218295,0.00004105627,0.00002790611,0.00001035017,0.000004998068,0.9989182,0.000332194,0.0006112775],"genre_scores_gemma":[0.0001406269,0.00003369621,0.0002051371,0.00004451162,0.000003586277,0.00004328003,0.9988477,0.0001759041,0.0005053942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8052536,"threshold_uncertainty_score":0.6514914,"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."}}