{"meta":{"query_hash":"e5fabbad7d3a","filters":{"venue":"Nephron"},"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/e5fabbad7d3a","api":"https://metacan.xera.ac/api/v1/cohort?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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.026470361186886452,"score_gpt":0.26676036158822547,"score_spread":0.24029000040133902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7121654","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65381324,0.0014067861,0.34200913,0.00014620947,0.000086265965,0.00015557892,0.00035996264,0.00077875046,0.0012441074],"genre_scores_gemma":[0.89342904,0.0005172802,0.10450234,0.00009163428,0.00007543448,0.00015463942,0.0004941294,0.000050150476,0.00068539276],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993191,0.00022931623,0.000049761726,0.00011625448,0.00023120097,0.00005431441],"domain_scores_gemma":[0.9984861,0.00083421805,0.00014655714,0.00007837699,0.00038752073,0.00006727585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090817036,0.00054777105,0.00060781115,0.0013720504,0.00017062598,0.0005692445,0.00046206592,0.000732347,0.0006804525],"category_scores_gemma":[0.0047320845,0.00018121081,0.00033216414,0.0009302908,0.00026423886,0.00038298187,0.00050452806,0.00033520247,0.00035260263],"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":[0.0038192899,0.00044103726,0.12872258,0.000963048,0.0005982436,0.0011850654,0.0008413897,0.008154154,0.3299275,0.0011908177,0.0010767112,0.52308017],"study_design_scores_gemma":[0.00054635026,0.0067452225,0.2952961,0.00016879509,0.0009413521,0.01905955,0.0015916623,0.3922806,0.264661,0.007828012,0.010548011,0.00033328982],"about_ca_topic_score_codex":0.00055938744,"about_ca_topic_score_gemma":0.0007792892,"teacher_disagreement_score":0.0013720504,"about_ca_system_score_codex":0.00016044329,"about_ca_system_score_gemma":0.00014787991,"threshold_uncertainty_score":0.0048028827},"labels":[],"label_agreement":null}]}