{"id":"W6924741743","doi":"10.15468/dl.t23ffu","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009918545,0.002199591,0.001672611,0.004872201,0.001032515,0.002504212,0.002990853,0.002311269,0.1084998],"category_scores_gemma":[0.005055823,0.0008537784,0.001254813,0.009031061,0.0004878118,0.002192499,0.002490155,0.002057345,0.1774445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582787,"about_ca_system_score_gemma":0.002084588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01961696,"about_ca_topic_score_gemma":0.03360137,"domain_scores_codex":[0.9989925,0.0001446451,0.0001266826,0.0003570284,0.0002186397,0.0001605096],"domain_scores_gemma":[0.9979604,0.0005450113,0.000199175,0.0005540415,0.0005020175,0.0002393179],"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":[0.00004063616,0.00001665472,0.0005236781,0.0006860294,0.00002023224,0.00001950314,0.00002541366,0.0001919717,0.0001579854,0.0004118129,0.9963143,0.001591692],"study_design_scores_gemma":[0.00009945301,0.00001129304,0.002313548,0.000215524,0.00001763386,0.00004603529,0.00008207883,0.0002178005,0.0002190947,0.0008208631,0.9959369,0.00001979032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005706881,0.00003793269,0.00004307587,0.00003574979,0.00001233943,0.000005656595,0.9989362,0.0003392451,0.0005326447],"genre_scores_gemma":[0.0001686778,0.00003547609,0.0001797135,0.00004146361,0.000003433845,0.0000370595,0.9990897,0.00009388146,0.0003505818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8915002,"threshold_uncertainty_score":0.3629678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009399321503990147,"score_gpt":0.1880879223951821,"score_spread":0.1786886008911919,"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."}}