{"id":"W3094578106","doi":"10.26739/2181-9599-2020-2-10","title":"SOME ISSUES OF THE DEVELOPMENT OF THE MARGILAN SILKWORM INDUSTRY IN THE SECOND QUARTER OF THE 20TH CENTURY","year":2020,"lang":"en","type":"article","venue":"Journal of look to the past","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sericulture; Quarter (Canadian coin); Selection (genetic algorithm); Engineering; Engineering ethics; Computer science; History; Artificial intelligence; Biology; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.001406449,0.00007103563,0.0001502538,0.00003034392,0.0002865338,0.00002098095,0.0009197452,0.00006133544,0.0004679707],"category_scores_gemma":[0.0002497791,0.00002547531,0.00009284643,0.0005976548,0.0002288239,0.00007296397,0.00009922141,0.0004539939,0.000001131554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003693236,"about_ca_system_score_gemma":0.000288761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001047922,"about_ca_topic_score_gemma":0.002938981,"domain_scores_codex":[0.9984479,0.0003537925,0.0004913284,0.00005636752,0.0005300695,0.0001205214],"domain_scores_gemma":[0.9988768,0.000136177,0.0005772015,0.000183134,0.0002018471,0.0000248244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002004152,0.00010574,0.1360411,0.00003034857,0.00007992331,2.396481e-7,0.8180997,0.00001875467,0.0007778702,0.002541409,0.04117429,0.001110485],"study_design_scores_gemma":[0.0001448931,0.00002377174,0.5312615,0.00009751051,0.00001630798,0.000001232806,0.3441122,6.567418e-7,0.001394722,0.0002587979,0.1226431,0.00004526731],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8598303,0.0003700065,0.000001517908,0.1352128,0.0004760564,0.0001986,0.000005854652,0.000001169464,0.003903635],"genre_scores_gemma":[0.9956836,0.00002236826,0.00004306836,0.002904419,0.0005783259,0.000002771654,1.089868e-7,0.000003635231,0.0007617755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4739875,"threshold_uncertainty_score":0.5123951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978708794687192,"score_gpt":0.3168307513753342,"score_spread":0.2870436634284623,"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."}}