{"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":"8530092382ec","filters":{"venue":"Clean Coal Technology"}},"results":[{"id":"W2371049302","doi":"","title":"Discuss about the application of the technology of shallow case picking in Shangwan coal plant","year":2007,"lang":"en","type":"article","venue":"Clean Coal Technology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Coal preparation plant; Coal; Sorting; Selection (genetic algorithm); Engineering; Process engineering; Separation (statistics); Process (computing); Waste management; Computer science; Artificial intelligence","authors":[{"name":"Fengjun Jia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01040819875608378,"gpt":0.240708740986927,"spread":0.2303005422308433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000280672,0.0001175223,0.0001973689,0.0003463519,0.00007295363,0.000004508138,0.0004383977,0.0002777577,0.000002821058],"category_scores_gemma":[0.00005379732,0.00007516049,0.00003699086,0.0007407879,0.0003481946,0.00002849655,0.0001283587,0.0004319395,0.000001986831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004528632,"about_ca_system_score_gemma":0.00001201376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006484381,"about_ca_topic_score_gemma":0.001910086,"domain_scores_codex":[0.9991412,0.000009148768,0.0003430238,0.0001522553,0.00008526978,0.0002690971],"domain_scores_gemma":[0.9994088,0.00005073805,0.0001039434,0.000397756,0.00002410373,0.0000146998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000511881,0.0001724071,0.2989134,0.0005424988,0.00009471459,0.0003055256,0.001680166,0.01407692,0.110498,0.06192222,0.0002171067,0.5115258],"study_design_scores_gemma":[0.002658957,0.0003985409,0.04505569,0.001125691,0.0001328424,0.006377242,0.02554417,0.06500934,0.8137016,0.0238492,0.0148814,0.001265304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891292,0.0003645638,0.009022352,0.0004840401,0.0001052539,0.0001834495,0.000009244437,0.0002172625,0.0004845873],"genre_scores_gemma":[0.9996287,0.000009721449,0.0002690272,0.00001130112,0.00002498081,0.00001531659,0.000001986075,0.00001900336,0.00001999311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7032036,"threshold_uncertainty_score":0.3064956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}