{"id":"W6943390318","doi":"10.15468/dl.qz774u","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); Data set; 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":[0.001011439,0.002105731,0.001690242,0.004840598,0.001022616,0.002643342,0.002931493,0.002188938,0.1628698],"category_scores_gemma":[0.006127946,0.0009531599,0.001233413,0.009342923,0.0004586212,0.002411841,0.002619202,0.002088145,0.2237895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534148,"about_ca_system_score_gemma":0.00235109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086923,"about_ca_topic_score_gemma":0.03635493,"domain_scores_codex":[0.9989237,0.0001506094,0.0001342408,0.0003845354,0.0002324703,0.0001745115],"domain_scores_gemma":[0.9974432,0.0007452027,0.0002368919,0.0006807223,0.0005934784,0.0003006091],"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":[0.00003011784,0.00001159097,0.000356353,0.000525413,0.00001485731,0.00001489394,0.00002197668,0.0001211798,0.000106438,0.0003448695,0.9972096,0.001242601],"study_design_scores_gemma":[0.00008468171,0.000008632634,0.001918504,0.0001942134,0.00001534244,0.00003843547,0.00006928573,0.0001583152,0.0001841968,0.0008491753,0.9964594,0.00001979849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003752362,0.00002425939,0.00004183197,0.00003298462,0.00001099494,0.000005070246,0.998908,0.0003683561,0.0005709181],"genre_scores_gemma":[0.0001508493,0.0000294447,0.0001895823,0.00004421037,0.000003445523,0.0000413839,0.9989575,0.0001490054,0.0004345588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371302,"threshold_uncertainty_score":0.5448537,"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."}}