{"meta":{"query_hash":"bed4e8cc9990","filters":{"venue":"Digital Image Computing: Techniques and Applications"},"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/bed4e8cc9990","api":"https://metacan.xera.ac/api/v1/cohort?venue=Digital+Image+Computing%3A+Techniques+and+Applications"},"results":[{"id":"W24206823","doi":"10.1016/j.nut.2013.07.021","title":"Image Ownership Verification via Private Pattern and Watermarking Wavelet Filters","year":2003,"lang":"en","type":"article","venue":"Digital Image Computing: Techniques and Applications","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dairy Farmers of Canada; Danone","keywords":"Watermark; Wavelet; Digital watermarking; Robustness (evolution); Computer science; Computer vision; Artificial intelligence; Invisibility; Wavelet transform; Key (lock); Image (mathematics); Pattern recognition (psychology); Computer security","score_opus":0.011580094234924152,"score_gpt":0.24480251209381898,"score_spread":0.23322241785889483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W24206823","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7915818,0.0005261603,0.20374879,0.00036980177,0.00009488368,0.000031155298,0.00010747814,0.0002733686,0.003266536],"genre_scores_gemma":[0.97434574,0.00017613832,0.023354469,0.000021698062,0.00002465682,0.00000814057,0.00003982813,0.000018461804,0.002010882],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997621,0.000047906742,0.000013232819,0.000049545404,0.00008944014,0.000037818358],"domain_scores_gemma":[0.9991416,0.0003555112,0.00018597192,0.00016940398,0.000116369265,0.00003124992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031401168,0.00017085958,0.00023330528,0.00030046992,0.0001174705,0.00038169304,0.00022581968,0.0005226456,0.002394733],"category_scores_gemma":[0.0029000647,0.0001312947,0.00015241287,0.00025812155,0.00028107225,0.0011478525,0.00032798992,0.00028631583,0.00039865423],"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":[0.003872652,0.00037997754,0.009141142,0.00013947418,0.00006985514,0.00041409716,0.00015017392,0.0070382715,0.28928295,0.0061491113,0.0015735293,0.68178874],"study_design_scores_gemma":[0.00028096422,0.001786925,0.039406452,0.00006773717,0.00021004451,0.0031984926,0.00027747778,0.34092015,0.599676,0.009499873,0.0046056537,0.000070253045],"about_ca_topic_score_codex":0.00031788315,"about_ca_topic_score_gemma":0.00043150934,"teacher_disagreement_score":0.002394733,"about_ca_system_score_codex":0.00011664851,"about_ca_system_score_gemma":0.0001783621,"threshold_uncertainty_score":0.008011162},"labels":[],"label_agreement":null}]}