{"id":"W2802210206","doi":"10.3390/min8050183","title":"Catalan Imitations of the Ligurian Taches Noires Ware in Barcelona (18th–19th Century): An Example of Technical Knowledge Transfer","year":2018,"lang":"en","type":"article","venue":"Minerals","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitat de Barcelona; Ministerio de Ciencia e Innovación; Henan Institute of Science and Technology; Ministerio de Economía y Competitividad","keywords":"Catalan; Pottery; Mediterranean climate; Homogeneous; Diversification (marketing strategy); Geography; German; Archaeology; Corsican; Humanities; Art; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.001346527,0.0004716213,0.0003271926,0.001472108,0.002092425,0.001783486,0.0007475477,0.0006496641,0.002458204],"category_scores_gemma":[0.001042516,0.0002516583,0.0002615215,0.0008433862,0.002558724,0.0004234437,0.001934295,0.0006552103,0.0005092305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002375319,"about_ca_system_score_gemma":0.0006624477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02703283,"about_ca_topic_score_gemma":0.07890824,"domain_scores_codex":[0.9993499,0.0001929005,0.00002660391,0.0001623631,0.0001676329,0.0001006621],"domain_scores_gemma":[0.9994972,0.000144567,0.00009805903,0.00009697551,0.0001143451,0.0000488684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002762162,0.0006067111,0.1573948,0.001565438,0.0002334599,0.03408345,0.4155693,0.00121359,0.03969011,0.02365918,0.007833789,0.3153881],"study_design_scores_gemma":[0.00007849092,0.0004842024,0.702486,0.0004381383,0.0001003393,0.007132385,0.07018404,0.0005558554,0.004683029,0.0009767277,0.212808,0.00007273284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585624,0.00176306,0.0006102224,0.0001787786,0.00005950508,0.00002995313,0.0001216846,0.00001916704,0.03865527],"genre_scores_gemma":[0.9877501,0.0005365079,0.001449284,0.00008219522,0.00002296788,0.00001194858,0.000155797,0.00002706535,0.009964108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02703283,"threshold_uncertainty_score":0.05375093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07703393347654942,"score_gpt":0.2639833001406109,"score_spread":0.1869493666640615,"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."}}