{"id":"W7047287328","doi":"","title":"Extracting information from very large datasets: modelling the erechtheion","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Data visualization; Cultural heritage; Resolution (logic); High resolution; Creative visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001579243,0.00007591147,0.00007507729,0.00002839585,0.0001727477,0.00005091485,0.0001572073,0.00003856892,0.0003988951],"category_scores_gemma":[0.000008394144,0.00005654162,0.00003286883,0.00007865376,0.00001119452,0.0005303209,0.00002584159,0.0002304889,0.0001460043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008565631,"about_ca_system_score_gemma":0.00001222446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002761789,"about_ca_topic_score_gemma":0.000001509231,"domain_scores_codex":[0.9995059,0.00002027157,0.0001416594,0.00008966579,0.00007776918,0.0001646811],"domain_scores_gemma":[0.9995772,0.00007050053,0.00005964866,0.0002569719,0.00001717834,0.00001847275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001821362,0.0002529378,0.008138609,0.000006855618,0.0001353334,0.000002837937,0.005192479,0.00265677,0.01871315,0.2638573,0.008912961,0.6921125],"study_design_scores_gemma":[0.001444312,0.00008208011,0.0003227217,0.00009307572,0.0001076463,0.000005615086,0.04913559,0.2118757,0.02701757,0.5460047,0.1632655,0.0006455031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137706,0.00002075369,0.07411146,0.001134675,0.0001377128,0.00008236196,0.0001684686,0.000104751,0.01046919],"genre_scores_gemma":[0.9968495,0.000001926255,0.002233845,0.0002031236,0.000169115,0.000004135179,0.0005271455,0.000003634785,0.000007618955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.691467,"threshold_uncertainty_score":0.4367621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184285258178134,"score_gpt":0.2472486913133414,"score_spread":0.228820165495528,"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."}}