{"id":"W6906097236","doi":"10.15468/dl.v7sm4s","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); Robustness (evolution)","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":[0.001054689,0.002088257,0.001582942,0.005621912,0.00096095,0.002582367,0.002743586,0.001958134,0.1637813],"category_scores_gemma":[0.006199264,0.0009403357,0.001177175,0.01017841,0.0004429969,0.002448664,0.00289724,0.001906047,0.2325585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572419,"about_ca_system_score_gemma":0.002336524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209426,"about_ca_topic_score_gemma":0.03695782,"domain_scores_codex":[0.9988286,0.0001619846,0.0001513279,0.0004069801,0.0002616313,0.0001895514],"domain_scores_gemma":[0.9972325,0.000715662,0.0002666961,0.000767428,0.0006907596,0.0003269503],"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":[0.00003079981,0.00001053409,0.0003341635,0.0005229215,0.00001482153,0.00001425376,0.00002258394,0.0001083265,0.0001142818,0.0003735833,0.9970074,0.001446346],"study_design_scores_gemma":[0.00006465975,0.000007917787,0.00169058,0.0001645338,0.00001276291,0.00003356913,0.00006163555,0.0001241586,0.0001813186,0.0007471332,0.9968952,0.00001651782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003979248,0.00002563649,0.00004459867,0.00003291088,0.00001025942,0.000005458252,0.9987891,0.0004137006,0.000638502],"genre_scores_gemma":[0.0001554077,0.00003102093,0.0001911677,0.00004399291,0.000003419158,0.00004041365,0.998914,0.0001656312,0.0004550776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8362187,"threshold_uncertainty_score":0.5479029,"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."}}