{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"72b381dbac54","filters":{"venue":"Intelligent Computer and Applications"}},"results":[{"id":"W2371381076","doi":"","title":"Survey of Depth From Defocus Method","year":2013,"lang":"en","type":"article","venue":"Intelligent Computer and Applications","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Determinative; Archaeology","authors":[{"name":"WU Qiufen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02464197555951109,"gpt":0.2841599321635336,"spread":0.2595179566040225,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006628121,0.00008823142,0.0001158397,0.00003951966,0.00004101922,0.00004125719,0.0001536932,0.00004001345,0.00003914104],"category_scores_gemma":[0.00000187276,0.00008416038,0.00002260965,0.0001611325,0.00003136215,0.00005333042,0.00004444732,0.00006952095,0.00004733149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008546122,"about_ca_system_score_gemma":0.000005758054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007338169,"about_ca_topic_score_gemma":0.00002555159,"domain_scores_codex":[0.9995019,0.00001338507,0.0002004458,0.0001395704,0.0000502392,0.00009446081],"domain_scores_gemma":[0.9994862,0.000117023,0.00002836088,0.0002220379,0.00009618107,0.00005017098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.408721e-7,0.00003655836,0.001331409,0.00002125871,0.00002305784,3.782036e-8,0.00006367406,0.0007429428,0.001676728,0.001542649,0.002351899,0.9922094],"study_design_scores_gemma":[0.0001181792,0.00002401463,0.08798343,0.00004024072,0.00003446692,0.000004559416,0.00002108921,0.7640551,0.08916282,0.02693074,0.03118717,0.0004382008],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003991522,0.0004609874,0.9941576,0.00003415436,0.00001752008,0.0002986133,0.00003071505,0.0002139223,0.0007949541],"genre_scores_gemma":[0.6883359,0.0001238132,0.3109988,0.00004063904,0.00005108155,0.0003627292,0.00005244325,0.00001563355,0.00001893482],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9917712,"threshold_uncertainty_score":0.3431961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}