{"id":"W4394396550","doi":"10.6084/m9.figshare.20059061","title":"National FSA Choropleth","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002052462,0.0001228948,0.00009162071,0.00009313977,0.00005604743,0.00003070943,0.0001546892,0.0001138248,0.9789562],"category_scores_gemma":[0.0002509608,0.0001470445,0.00004976126,0.0001357141,0.000001092524,0.00004887956,0.00005040888,0.0003513692,0.006611528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114685,"about_ca_system_score_gemma":0.00004600276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000048349,"about_ca_topic_score_gemma":0.00002144661,"domain_scores_codex":[0.9993216,0.00001352806,0.0001124105,0.0001150953,0.0003379918,0.00009931751],"domain_scores_gemma":[0.9997104,0.00004645173,0.00003136775,0.0001093177,0.00006519599,0.00003726613],"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":[6.671707e-7,0.000004706484,1.253853e-8,0.0001647361,0.00001106356,0.000005037903,0.000002117165,0.0005175548,5.38402e-7,3.134329e-7,0.9989835,0.0003097526],"study_design_scores_gemma":[0.00007636066,0.000007606319,0.00001378084,0.000181013,0.000005096795,0.000003557592,0.000001486535,0.0002843596,0.00001365624,0.00001056145,0.9992357,0.0001668516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.388989e-7,0.0001468046,1.851194e-7,0.000007424402,0.0002285798,0.0001094134,0.9974997,0.0001587158,0.001849048],"genre_scores_gemma":[0.00000818869,0.00001507253,0.000003015853,0.0001829248,0.0002824317,0.000372513,0.9990547,0.00001965178,0.00006147917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9723446,"threshold_uncertainty_score":0.994162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544506087059247,"score_gpt":0.2578849910975585,"score_spread":0.222439930226966,"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."}}