{"id":"W7045433622","doi":"","title":"Applicateurs linéaires de champs EM utilisant la technologie triplaque pour l'entretien de décharges HF (50-2450 MHz)","year":2005,"lang":"fr","type":"other","venue":"Open MIND","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Noise (video); Measure (data warehouse); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002093,0.001269161,0.0009662258,0.001758202,0.001802862,0.001998455,0.001553765,0.002187892,0.07086268],"category_scores_gemma":[0.003306078,0.0008268853,0.00065236,0.001609883,0.000658223,0.0026124,0.001090524,0.0009285207,0.01814636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123149,"about_ca_system_score_gemma":0.000923489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003569174,"about_ca_topic_score_gemma":0.006204802,"domain_scores_codex":[0.9991426,0.00009591977,0.00003522753,0.0002187399,0.0004020898,0.000105318],"domain_scores_gemma":[0.997422,0.0009488215,0.0001780712,0.0003798093,0.0008975478,0.0001737457],"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":[0.00123541,0.0003396226,0.003020104,0.0008741705,0.00008752015,0.0006752496,0.001935603,0.01017396,0.6262317,0.02334861,0.0255784,0.3064997],"study_design_scores_gemma":[0.0001701881,0.0007221735,0.003743491,0.0001155958,0.00008438721,0.0007234592,0.0007848489,0.05229928,0.7055109,0.005550985,0.2301375,0.0001571794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.192271,0.002018635,0.6517311,0.001396312,0.001701905,0.0008514608,0.001422121,0.02612248,0.1224849],"genre_scores_gemma":[0.3358585,0.001135067,0.4147938,0.0003874924,0.0003703248,0.00098787,0.001695539,0.002654838,0.2421166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07086268,"threshold_uncertainty_score":0.2370593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625428901892176,"score_gpt":0.3095992841189894,"score_spread":0.2833449951000677,"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."}}