{"id":"W6924783461","doi":"10.15468/dl.yt3h78","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); Variety (cybernetics)","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":[0.0009569415,0.002065853,0.001459879,0.004247889,0.001031485,0.002363827,0.002986821,0.002318691,0.103055],"category_scores_gemma":[0.00526559,0.0007910395,0.001303539,0.008094458,0.0004758972,0.001959031,0.002311408,0.00208268,0.1787459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159933,"about_ca_system_score_gemma":0.002284783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02183573,"about_ca_topic_score_gemma":0.04023287,"domain_scores_codex":[0.9990068,0.0001492496,0.0001204166,0.0003342239,0.0002303858,0.0001589502],"domain_scores_gemma":[0.9979068,0.0005720359,0.0001620195,0.0005970676,0.0005282113,0.000233923],"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":[0.00003430279,0.00001665235,0.0004465657,0.0005061865,0.00001602519,0.00001846865,0.00002360052,0.0002027536,0.0001388539,0.0004431046,0.9965907,0.001562734],"study_design_scores_gemma":[0.00008614809,0.00001082939,0.002023513,0.0001857986,0.00001538782,0.00004316477,0.00007706733,0.0002760195,0.0002511363,0.0009678946,0.9960443,0.00001885825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006902022,0.00003320773,0.00006281589,0.00003974213,0.00001331456,0.000006949249,0.9985458,0.0005086375,0.0007205356],"genre_scores_gemma":[0.0001667603,0.00002925916,0.0002191582,0.0000371978,0.000002763532,0.00003927327,0.9990143,0.0001074119,0.0003839535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.896945,"threshold_uncertainty_score":0.3447534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174884315956947,"score_gpt":0.1966553706847993,"score_spread":0.1849065275252298,"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."}}