{"id":"W6924608762","doi":"10.15468/dl.p33fv4","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); State (computer science); Data set","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":[0.00100409,0.002014692,0.001543162,0.005089964,0.0009814327,0.002513159,0.002812664,0.002097118,0.1279377],"category_scores_gemma":[0.005676356,0.0008897315,0.001173174,0.009486529,0.0004590275,0.002119688,0.002389329,0.002016836,0.1929122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590644,"about_ca_system_score_gemma":0.002341069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02425594,"about_ca_topic_score_gemma":0.03942844,"domain_scores_codex":[0.9989401,0.0001435204,0.0001417089,0.0003558452,0.0002488217,0.0001701263],"domain_scores_gemma":[0.9976526,0.0006472551,0.0002230774,0.0006156446,0.00059075,0.0002707262],"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":[0.00002991138,0.00001270755,0.0004239442,0.0005016968,0.00001544888,0.00001772162,0.00002535009,0.0001561338,0.0001125952,0.0004088474,0.9969217,0.001373942],"study_design_scores_gemma":[0.00007782225,0.000008276985,0.002087899,0.0001919765,0.00001458276,0.00004146524,0.00007676984,0.0001904159,0.0001855526,0.0007760174,0.9963316,0.00001763838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004450307,0.00002442426,0.0000456522,0.00003308601,0.00001076946,0.000005182887,0.9988682,0.0003743539,0.0005938957],"genre_scores_gemma":[0.0001486946,0.00002927845,0.0001803298,0.00003711864,0.000002965352,0.00003487611,0.9990447,0.0001268366,0.0003951821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8720623,"threshold_uncertainty_score":0.4279942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008061458397413283,"score_gpt":0.1783535691400465,"score_spread":0.1702921107426332,"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."}}