{"meta":{"query_hash":"d00159c041b7","filters":{"venue":"ISRN Machine Vision"},"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/d00159c041b7","api":"https://metacan.xera.ac/api/v1/cohort?venue=ISRN+Machine+Vision"},"results":[{"id":"W1965202763","doi":"10.1155/2013/876386","title":"New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis","year":2013,"lang":"en","type":"article","venue":"ISRN Machine Vision","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grayscale; Texture (cosmology); Artificial intelligence; Computer science; Pattern recognition (psychology); Texture compression; Chromatic scale; Texture filtering; Image texture; Computer vision; Bidirectional texture function; Image processing; Image (mathematics); Mathematics","score_opus":0.01099123100074101,"score_gpt":0.2941408181144594,"score_spread":0.2831495871137184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965202763","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":[0.0675573,0.0035962004,0.7289425,0.0009177007,0.0007225007,0.002858369,0.15296303,0.019881304,0.022561025],"genre_scores_gemma":[0.14567812,0.0027632513,0.63723236,0.0003301648,0.00018315528,0.0030242142,0.20151864,0.001089265,0.008180851],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845266,0.0001761761,0.00026492449,0.00022474588,0.0007861043,0.00009534763],"domain_scores_gemma":[0.99685574,0.00032889502,0.00028977368,0.0012674069,0.001117895,0.00014037298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013297424,0.00083830487,0.0013765176,0.007233955,0.0006077332,0.0020749122,0.0018531742,0.00072012015,0.008784517],"category_scores_gemma":[0.006187305,0.0004823173,0.00080198195,0.0085513815,0.00042507012,0.0024551162,0.0010499691,0.0011357713,0.004952237],"study_design_candidate":"bench_or_experimental","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":[0.0016061943,0.00094369234,0.007069338,0.0013937203,0.00027078876,0.0005386602,0.00024851793,0.017269634,0.05650939,0.028273402,0.1672757,0.71860087],"study_design_scores_gemma":[0.0006509053,0.00073667814,0.06669498,0.00043183516,0.00027067633,0.0036226383,0.0008410353,0.3072537,0.113012284,0.02947518,0.47651082,0.0004991983],"about_ca_topic_score_codex":0.0049849367,"about_ca_topic_score_gemma":0.008581338,"teacher_disagreement_score":0.008784517,"about_ca_system_score_codex":0.0008855935,"about_ca_system_score_gemma":0.0008994366,"threshold_uncertainty_score":0.029387116},"labels":[],"label_agreement":null}]}