{"meta":{"query_hash":"44a28a451ef1","filters":{"venue":"Journal of Changchun Institute of Optics and Fine Mechanics"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/44a28a451ef1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Changchun+Institute+of+Optics+and+Fine+Mechanics"},"results":[{"id":"W2381487872","doi":"","title":"Digital Image Watermarking Algorithm Based on DWT and SVD","year":2005,"lang":"en","type":"article","venue":"Journal of Changchun Institute of Optics and Fine Mechanics","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Digital watermarking; Singular value decomposition; Scrambling; Algorithm; Image (mathematics); Discrete wavelet transform; Artificial intelligence; Chaotic; Mathematics; Computer vision; Computer science; Singular value; Wavelet; Wavelet transform; Physics","score_opus":0.010036581991475103,"score_gpt":0.2275017572476142,"score_spread":0.2174651752561391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381487872","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0159376,0.0017819273,0.97734785,0.00021016637,0.0003376311,0.00010342488,0.000098523196,0.00065508723,0.003527698],"genre_scores_gemma":[0.18595661,0.00449695,0.79674304,0.00012312522,0.00029890242,0.00015120431,0.00046339745,0.000102823185,0.01166393],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944717,0.00004461618,0.00005286754,0.00009809201,0.00032789077,0.000029358085],"domain_scores_gemma":[0.9996419,0.000053924363,0.00003537269,0.000035289562,0.00021867211,0.00001479043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004409813,0.0005216619,0.00067380385,0.0014863252,0.00033445837,0.00072391005,0.00044828674,0.0005179958,0.00094436074],"category_scores_gemma":[0.0009921626,0.00023539626,0.0006554317,0.0012260992,0.0004380128,0.00151411,0.00043919144,0.00066075183,0.00063767267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023204819,0.00006067597,0.00094212557,0.00046413686,0.00010257695,0.00024409246,0.000121445315,0.019720485,0.18008547,0.026341353,0.002934409,0.76875114],"study_design_scores_gemma":[0.00014975523,0.0007147343,0.0026241753,0.00013150678,0.00018139144,0.0027762435,0.0001242935,0.5580842,0.3369682,0.01774005,0.08029756,0.00020790563],"about_ca_topic_score_codex":0.00067994464,"about_ca_topic_score_gemma":0.0006192827,"teacher_disagreement_score":0.0014863252,"about_ca_system_score_codex":0.00030681674,"about_ca_system_score_gemma":0.00042546153,"threshold_uncertainty_score":0.0031591654},"labels":[],"label_agreement":null}]}