{"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":"e5fabbad7d3a","filters":{"venue":"Nephron"}},"results":[{"id":"W7121654","doi":"10.1159/000182630","title":"Comparing Techniques for Analyzing Electrochemical Noise Data from a Passive/Active System","year":2006,"lang":"en","type":"article","venue":"Nephron","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Electrochemical noise; Electrochemistry; Noise (video); Materials science; Computer science; Chemistry; Electrode; Artificial intelligence","authors":[{"name":"Robert D. Klassen","is_ca":true},{"name":"Pierre R. Roberge","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02647036118688645,"gpt":0.2667603615882255,"spread":0.240290000401339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009081704,0.0005477711,0.0006078111,0.00137205,0.000170626,0.0005692445,0.0004620659,0.000732347,0.0006804525],"category_scores_gemma":[0.004732084,0.0001812108,0.0003321641,0.0009302908,0.0002642389,0.0003829819,0.0005045281,0.0003352025,0.0003526026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604433,"about_ca_system_score_gemma":0.0001478799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005593874,"about_ca_topic_score_gemma":0.0007792892,"domain_scores_codex":[0.9993191,0.0002293162,0.00004976173,0.0001162545,0.000231201,0.00005431441],"domain_scores_gemma":[0.9984861,0.0008342181,0.0001465571,0.00007837699,0.0003875207,0.00006727585],"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":[0.00381929,0.0004410373,0.1287226,0.000963048,0.0005982436,0.001185065,0.0008413897,0.008154154,0.3299275,0.001190818,0.001076711,0.5230802],"study_design_scores_gemma":[0.0005463503,0.006745222,0.2952961,0.0001687951,0.0009413521,0.01905955,0.001591662,0.3922806,0.264661,0.007828012,0.01054801,0.0003332898],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6538132,0.001406786,0.3420091,0.0001462095,0.00008626597,0.0001555789,0.0003599626,0.0007787505,0.001244107],"genre_scores_gemma":[0.893429,0.0005172802,0.1045023,0.00009163428,0.00007543448,0.0001546394,0.0004941294,0.00005015048,0.0006853928],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00137205,"threshold_uncertainty_score":0.004802883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}