{"id":"W4393777412","doi":"10.5281/zenodo.10347896","title":"Mackenzie Estate Gardens - Folly","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Architecture, Design, and Social History","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estate; Geography; Business; Finance","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005118797,0.0003105576,0.0003067372,0.0003119636,0.006027719,0.001115474,0.001458267,0.0001503129,0.1508841],"category_scores_gemma":[0.0003086808,0.0003170567,0.0001478059,0.00008802905,0.001024494,0.000106668,0.000851213,0.0005817928,0.03342185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266959,"about_ca_system_score_gemma":0.00001315295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002137065,"about_ca_topic_score_gemma":0.00009389201,"domain_scores_codex":[0.997661,0.0004407647,0.0003327688,0.0005376961,0.0005195644,0.000508205],"domain_scores_gemma":[0.998235,0.00003421936,0.0002136095,0.0006803412,0.0006238339,0.0002130084],"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":[0.00004986092,0.00008161655,7.022089e-9,0.000114181,0.00007766348,0.00003273422,0.008252826,8.367259e-7,0.000004775163,0.0008508334,0.9852343,0.005300422],"study_design_scores_gemma":[0.0002505775,0.0003048589,0.000001509621,0.00004520213,0.00006202995,0.0000231663,0.0004272023,0.000003252174,0.000002812726,0.000415406,0.9981014,0.0003626145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002769872,0.00007848844,0.0000268054,0.00009867688,0.0006302212,0.0003252551,0.7721331,0.0004806293,0.2261992],"genre_scores_gemma":[0.0001711276,0.0003495004,0.00002342438,0.0003034568,0.002310295,5.682643e-8,0.9793074,0.001435946,0.01609882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2101004,"threshold_uncertainty_score":0.9999282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04285289783789565,"score_gpt":0.2335719830064487,"score_spread":0.1907190851685531,"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."}}