{"id":"W6887284976","doi":"10.15468/dl.ucwoki","title":"Occurrence Download","year":2016,"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); Data collection; Data set","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":[0.001078791,0.002009378,0.0016664,0.005416525,0.0009416164,0.002693462,0.002948106,0.002033589,0.1545245],"category_scores_gemma":[0.006611152,0.0009003271,0.001185393,0.01036836,0.0004572519,0.002498003,0.002916482,0.00209643,0.2230718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616352,"about_ca_system_score_gemma":0.00257239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01912497,"about_ca_topic_score_gemma":0.03290821,"domain_scores_codex":[0.9988141,0.0001568163,0.0001665208,0.0004036052,0.0002663636,0.0001926212],"domain_scores_gemma":[0.9970822,0.0007439887,0.0002908219,0.0008246455,0.0007156194,0.0003426581],"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":[0.00003041376,0.00001140363,0.0003716623,0.0005596557,0.00001559539,0.00001536676,0.00002273727,0.0001156373,0.0001214298,0.0004057004,0.9970323,0.001298067],"study_design_scores_gemma":[0.00007681345,0.000008087605,0.001711754,0.0001917296,0.00001385177,0.0000386914,0.00006284632,0.0001345888,0.0001948237,0.000805566,0.9967437,0.0000175542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003745055,0.00002522412,0.00004034259,0.00003297308,0.00001105844,0.000005297695,0.9988709,0.0003760476,0.0006006542],"genre_scores_gemma":[0.000134956,0.00003102819,0.0001682059,0.00003917755,0.000003136475,0.00003483759,0.9990802,0.0001294943,0.0003790243],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8454754,"threshold_uncertainty_score":0.5169361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}