{"meta":{"query_hash":"94dc8204acb6","filters":{"venue":"Bionics of Intelligence"},"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/94dc8204acb6","api":"https://metacan.xera.ac/api/v1/cohort?venue=Bionics+of+Intelligence"},"results":[{"id":"W3153849114","doi":"10.30837/bi.2019.2(93).11","title":"A SURVEY OF METHODS OF TEXT-TO-IMAGE TRANSLATION","year":2019,"lang":"en","type":"article","venue":"Bionics of Intelligence","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Compute Canada","funders":"","keywords":"Computer science; Image (mathematics); Image translation; Key (lock); Rank (graph theory); Generative grammar; Translation (biology); Artificial intelligence; Information retrieval; Pattern recognition (psychology); Mathematics","score_opus":0.05777675656469959,"score_gpt":0.36001880006020726,"score_spread":0.30224204349550765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153849114","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003931406,0.019664032,0.9571753,0.0006259007,0.00067010813,0.00021965167,0.00054950087,0.0039143106,0.013249699],"genre_scores_gemma":[0.12911722,0.03227172,0.7789331,0.0011945568,0.0016068933,0.0006401867,0.003495451,0.0027162968,0.050024614],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986609,0.0003184561,0.00012098739,0.00038580364,0.0004416563,0.00007214827],"domain_scores_gemma":[0.9983247,0.00071917486,0.00009992998,0.0005675626,0.00025165224,0.000036912123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010895986,0.0015630443,0.001474751,0.0019565197,0.00054518256,0.0020899156,0.0016174975,0.0015522948,0.013283046],"category_scores_gemma":[0.0045717913,0.0005876009,0.0016788986,0.0023001486,0.0008466552,0.0022851066,0.001317284,0.0014969705,0.010033212],"study_design_candidate":"not_applicable","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":[0.00015157547,0.00009887918,0.00027791952,0.0012758113,0.000104551626,0.00013247304,0.000120579665,0.018037662,0.009499954,0.019954875,0.016916636,0.933429],"study_design_scores_gemma":[0.00011293458,0.00063634873,0.0023144588,0.00073808106,0.00022172299,0.0032635024,0.0003879726,0.56729597,0.07709644,0.08243532,0.26528013,0.00021705047],"about_ca_topic_score_codex":0.0013284645,"about_ca_topic_score_gemma":0.001277921,"teacher_disagreement_score":0.013283046,"about_ca_system_score_codex":0.0006267617,"about_ca_system_score_gemma":0.000697234,"threshold_uncertainty_score":0.044436216},"labels":[],"label_agreement":null}]}