{"id":"W6943466612","doi":"10.15468/dl.t88sss","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":[0.0009681097,0.001960667,0.001571768,0.004870038,0.00106051,0.002511478,0.002784172,0.002183083,0.1466972],"category_scores_gemma":[0.005863232,0.0008871475,0.001297979,0.009311675,0.0004687988,0.00235217,0.002542627,0.002000356,0.2161574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563135,"about_ca_system_score_gemma":0.002318179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226626,"about_ca_topic_score_gemma":0.03812362,"domain_scores_codex":[0.9989508,0.0001463906,0.0001316308,0.0003660343,0.0002327947,0.0001723187],"domain_scores_gemma":[0.9974061,0.0007467305,0.0002265166,0.000701568,0.0006331046,0.0002860136],"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":[0.00002923163,0.00001295574,0.0003996146,0.0005280109,0.00001372556,0.00001561467,0.00002425135,0.0001191711,0.0001181249,0.0003301181,0.9969529,0.001456386],"study_design_scores_gemma":[0.00007395771,0.00001017433,0.00220229,0.0002068356,0.00001450751,0.00004200185,0.00008731826,0.000166936,0.0001979632,0.0007316177,0.9962478,0.00001859134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005384859,0.00003166936,0.00004541582,0.0000426183,0.00001475882,0.000006362865,0.9987105,0.0004298793,0.0006650019],"genre_scores_gemma":[0.0001734669,0.00003543772,0.0002016889,0.00004915421,0.000003986904,0.00004484933,0.9988768,0.0001367551,0.0004778582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533028,"threshold_uncertainty_score":0.490751,"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."}}