{"id":"W7011413574","doi":"","title":"A másolatok másolata. John Brampton Philpot elefántcsont faragvány- 
\\nmásolatokról készített 19. századi fényképsorozata a Magyar Nemzeti Múzeumban.","year":2014,"lang":"hu","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Jewish and Middle Eastern Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Agency (philosophy); Perspective (graphical); Identification (biology)","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":[0.0003949214,0.00057753,0.0003398325,0.0008825866,0.002634221,0.003080243,0.0004057217,0.00149128,0.3105369],"category_scores_gemma":[0.001056717,0.0003929332,0.000185287,0.0008449728,0.0006449838,0.003655561,0.002157454,0.001627257,0.1506402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008805564,"about_ca_system_score_gemma":0.0007586168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004707666,"about_ca_topic_score_gemma":0.02086421,"domain_scores_codex":[0.9998055,0.00002954652,0.000008674401,0.00004118679,0.00007718458,0.00003790373],"domain_scores_gemma":[0.9995183,0.00006981927,0.00003172337,0.00003536417,0.0001746249,0.0001701275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001592657,0.00001177915,0.0001375986,0.00004480247,0.00000138527,0.00004734909,0.0002792618,0.000005488692,0.0001451979,0.002882441,0.9522823,0.04414644],"study_design_scores_gemma":[0.000001486557,0.000003516843,0.0003370906,0.0000479503,9.679477e-7,0.0000618237,0.0003256062,0.000006829273,0.00005247555,0.0003807423,0.9987796,0.000001962268],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003614229,0.119116,0.001370496,0.1463569,0.0328764,0.0000633815,0.001086146,0.001170409,0.6943461],"genre_scores_gemma":[0.004383355,0.009242226,0.0003161286,0.003516007,0.0009457308,0.00001068163,0.0001374038,0.0002027731,0.9812458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3105369,"threshold_uncertainty_score":0.9834355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238078444650171,"score_gpt":0.2509983432674509,"score_spread":0.2286175588209492,"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."}}