{"id":"W6887284862","doi":"10.15468/dl.xrnabv","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pistia; Download; Matching (statistics); Range (aeronautics); Stratiotes","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":[0.0009605322,0.001848564,0.001443816,0.005093788,0.0009776158,0.002475771,0.00271137,0.001942981,0.154177],"category_scores_gemma":[0.005784767,0.0008762414,0.001134837,0.009855759,0.0004450124,0.002294198,0.002609018,0.001888448,0.2050184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731455,"about_ca_system_score_gemma":0.002618528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02772814,"about_ca_topic_score_gemma":0.04734981,"domain_scores_codex":[0.9989595,0.0001475479,0.0001365319,0.0003460969,0.0002319958,0.0001782168],"domain_scores_gemma":[0.9974399,0.0006515056,0.0002470283,0.0006883522,0.0006753425,0.0002977958],"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":[0.00003122784,0.00001091589,0.000372378,0.0005130022,0.00001464024,0.00001455757,0.00002254686,0.0001241526,0.0001140159,0.0004179795,0.9969417,0.00142284],"study_design_scores_gemma":[0.00006399959,0.000007081748,0.001718403,0.0001658113,0.00001239922,0.00003111266,0.00006163515,0.0001197837,0.0001684851,0.0007631749,0.9968717,0.00001637539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000038702,0.00002339684,0.00003771378,0.0000335113,0.000009905883,0.0000049395,0.9988954,0.000323881,0.0006325431],"genre_scores_gemma":[0.0001577456,0.00003057489,0.0001805712,0.00004392958,0.000003161506,0.00003596908,0.9989564,0.000125045,0.0004666065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.845823,"threshold_uncertainty_score":0.5157734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}