{"id":"W7132105920","doi":"","title":"BIGFOOT SYSTEMS®","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006492053,0.00005481844,0.00007688409,0.0000341421,0.00007228557,0.0001120977,0.000154857,0.00002835566,0.00153658],"category_scores_gemma":[0.0001214865,0.00004310528,0.00001448569,0.0001192732,0.00004179548,0.00007832215,0.00001998824,0.00003683534,0.0009280595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002571955,"about_ca_system_score_gemma":0.00004027166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002005542,"about_ca_topic_score_gemma":7.343182e-7,"domain_scores_codex":[0.999182,0.00005639319,0.00008879732,0.0001461726,0.0002316649,0.0002949522],"domain_scores_gemma":[0.9996644,0.00002483138,0.00001381331,0.0001676586,0.00002968145,0.00009961418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001105148,0.000007125871,0.00002131822,0.00001373693,4.339913e-7,0.000003156047,0.00002032943,0.0001350525,0.9488527,0.04977637,0.001063689,0.0001050466],"study_design_scores_gemma":[0.0001510786,0.00005166956,0.0001191501,0.00002306983,0.000002058184,0.00002676376,0.0000683855,0.0003180747,0.8975511,0.002250428,0.09927868,0.000159512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298007,0.00005490868,0.001922614,0.00008071859,0.001304549,0.00009484532,0.000004055028,0.000139873,0.1665977],"genre_scores_gemma":[0.9960734,0.000007208988,0.001834456,0.00001129568,0.00005263566,0.00001573536,3.027538e-7,0.000006244379,0.001998666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1662727,"threshold_uncertainty_score":0.9998499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209833603701661,"score_gpt":0.2681950844403671,"score_spread":0.2460967484033505,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}