{"id":"W7106791609","doi":"10.14288/cjur.v8i1.198594","title":"Design of an asymmetrically biased triple Langmuir probe and accompanying diagnostics tool","year":2023,"lang":"en","type":"article","venue":"Open Collections","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Langmuir probe; Plasma diagnostics; Plasma; Measure (data warehouse); Langmuir; Voltage; Biasing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006756957,0.0005684515,0.000683277,0.0006682586,0.0004811124,0.0009347332,0.00194818,0.001159075,0.00233038],"category_scores_gemma":[0.0009997898,0.0005615451,0.000341744,0.0004118909,0.0003672386,0.0008430973,0.0008373205,0.0007271116,0.002182487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006004322,"about_ca_system_score_gemma":0.0009407385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00042886,"about_ca_topic_score_gemma":0.0004683082,"domain_scores_codex":[0.9992898,0.00005879867,0.0000477781,0.0002041243,0.0003096232,0.00008997899],"domain_scores_gemma":[0.999352,0.0001034313,0.0001156329,0.00008481098,0.000258812,0.00008527912],"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":[0.0001669339,0.00007380456,0.000894141,0.0002096909,0.00002109678,0.0002584443,0.000106136,0.001863461,0.9407862,0.00758108,0.002318508,0.04572054],"study_design_scores_gemma":[0.00008321783,0.001102952,0.001559636,0.00003492254,0.00005961598,0.001442159,0.0001045788,0.05729022,0.8759616,0.001839721,0.06039279,0.00012852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09889864,0.001059808,0.8817755,0.001214139,0.0005289025,0.0009972745,0.0006485698,0.003570846,0.01130626],"genre_scores_gemma":[0.3517773,0.0005739028,0.6368245,0.0005675608,0.000102496,0.0009771776,0.0003368823,0.00015258,0.008687523],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00233038,"threshold_uncertainty_score":0.00779593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858491026648066,"score_gpt":0.2617464354813392,"score_spread":0.2231615252148585,"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."}}