{"meta":{"query_hash":"cf9d03ec2db4","filters":{"venue":"Journal of Communication and Computer"},"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/cf9d03ec2db4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Communication+and+Computer"},"results":[{"id":"W1559500092","doi":"","title":"Simplified Texture Spectrum for Texture Analysis","year":2010,"lang":"en","type":"article","venue":"Journal of Communication and Computer","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Texture filtering; Texture (cosmology); Texture compression; Computer science; Artificial intelligence; Pattern recognition (psychology); Bidirectional texture function; Redundancy (engineering); Projective texture mapping; Image texture; Computer vision; Image (mathematics); Image processing","score_opus":0.010156392321385108,"score_gpt":0.26870463882367607,"score_spread":0.25854824650229097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559500092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023663586,0.00023394822,0.98859864,0.008265538,0.00011284976,0.000089018205,0.0000013457218,0.000039612325,0.00029270715],"genre_scores_gemma":[0.84493303,0.00016206215,0.15397719,0.00067110156,0.00011338289,0.0000029750518,0.0000029588246,0.0000042925344,0.00013300723],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923253,0.000058100075,0.00034183962,0.00011112231,0.00015427536,0.00010214634],"domain_scores_gemma":[0.99842405,0.00018291973,0.00037632583,0.0006361467,0.00029960353,0.00008093664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004934038,0.000090061105,0.00021269727,0.00022437659,0.00013914538,0.00022664566,0.0010348174,0.0000839558,0.00001372442],"category_scores_gemma":[0.000023093575,0.00006854147,0.00016940021,0.00041900037,0.00005335209,0.00034672054,0.00014835023,0.00034436167,0.0000015124614],"study_design_candidate":"design_other","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":[0.00003730991,0.00020769908,0.0013132918,0.000017192297,0.00037210668,0.0000020156715,0.00067886757,0.000018210718,0.0038723457,0.33235604,0.0055440073,0.6555809],"study_design_scores_gemma":[0.001311472,0.0004685359,0.072196625,0.000039129096,0.00031717177,0.00023999375,0.000051724317,0.5238553,0.008417465,0.08229719,0.31031317,0.00049218966],"about_ca_topic_score_codex":0.0000020039517,"about_ca_topic_score_gemma":0.0000074914396,"teacher_disagreement_score":0.84256667,"about_ca_system_score_codex":0.000009678338,"about_ca_system_score_gemma":0.000038895934,"threshold_uncertainty_score":0.27950403},"labels":[],"label_agreement":null}]}