{"id":"W6905966209","doi":"10.15468/dl.q4r98g","title":"Occurrence Download","year":2022,"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); Column (typography)","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":[0.0009477463,0.00190132,0.001621994,0.004993539,0.0009364425,0.002586292,0.002697627,0.001986362,0.1698246],"category_scores_gemma":[0.005734027,0.0009197092,0.001087444,0.009687826,0.0004352186,0.00225584,0.002551411,0.001944378,0.2252664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458626,"about_ca_system_score_gemma":0.00217616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941851,"about_ca_topic_score_gemma":0.03346603,"domain_scores_codex":[0.9990349,0.0001294835,0.0001244842,0.0003428892,0.0002051128,0.0001631866],"domain_scores_gemma":[0.9976308,0.0006811862,0.0002381855,0.000602019,0.000557369,0.0002902602],"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":[0.0000288365,0.00001114508,0.0003999355,0.0005609337,0.00001526183,0.00001522189,0.00002478573,0.0001261344,0.0001167711,0.0003770545,0.9969788,0.001345067],"study_design_scores_gemma":[0.0000791206,0.000008058319,0.001993374,0.0001957533,0.00001470861,0.00003723202,0.00007459187,0.0001477419,0.0001787809,0.0008217001,0.9964301,0.00001881181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003891749,0.00002268412,0.00004145097,0.00003027203,0.0000103971,0.00000456953,0.9989595,0.0003260633,0.0005661187],"genre_scores_gemma":[0.0001707202,0.00003165961,0.0002008604,0.00004394873,0.000003590394,0.00004284783,0.9988868,0.0001542559,0.0004653759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8301753,"threshold_uncertainty_score":0.56812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}