{"id":"W1541232342","doi":"","title":"Design Innovation and Exploration of Sichuan Embroidery and Sichuan Brocade Tourist Souvenirs","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Business; Tourist industry; Marketing; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001355928,0.0003378288,0.0001476623,0.0007658395,0.001278305,0.001649859,0.0006030216,0.0004501227,0.003054224],"category_scores_gemma":[0.0009632706,0.0001777102,0.0005237547,0.0004116132,0.001457525,0.000934739,0.001254682,0.0003097021,0.0001671746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493679,"about_ca_system_score_gemma":0.002033589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007623017,"about_ca_topic_score_gemma":0.01770111,"domain_scores_codex":[0.9991435,0.0003853744,0.00002396133,0.000102643,0.0002289423,0.0001156273],"domain_scores_gemma":[0.9996334,0.0001194815,0.00002560375,0.00006177137,0.00009573544,0.00006404263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007240732,0.00066515,0.04620432,0.002266212,0.0001416949,0.005199694,0.2371374,0.01962889,0.09342907,0.1698452,0.005356951,0.4194013],"study_design_scores_gemma":[0.0002050169,0.002578389,0.127033,0.000801403,0.0003666678,0.003263819,0.2139054,0.05256322,0.04443675,0.04047507,0.5141166,0.0002546282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706039,0.0006968394,0.03685474,0.0005133435,0.00003509876,0.0003257799,0.00004011701,0.0001004272,0.09082989],"genre_scores_gemma":[0.9480863,0.0003331244,0.03080495,0.00004543582,0.00000342532,0.0001170857,0.00004650984,0.00001971861,0.02054343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007623017,"threshold_uncertainty_score":0.01515728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08362165611749602,"score_gpt":0.2911666150894915,"score_spread":0.2075449589719955,"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."}}