{"id":"W7053060248","doi":"","title":"Synthèse et caractérisation de couches minces de VO₂
\\net de WₓV₁₋ₓO₂ pour des applications dans les domaines
\\ninfrarouge et térahertz.","year":2017,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Semiconductor materials; Laser beams; Optical materials","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003932789,0.0004210072,0.0003126993,0.000449559,0.0004309809,0.0005287674,0.0006832927,0.000706813,0.01051275],"category_scores_gemma":[0.000567193,0.0005048417,0.0003727903,0.0004798581,0.0003128528,0.0007000596,0.0002882333,0.0008865214,0.002505954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000800608,"about_ca_system_score_gemma":0.0005144969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151185,"about_ca_topic_score_gemma":0.005632182,"domain_scores_codex":[0.9997399,0.00001942151,0.00001055075,0.00006706088,0.0001219907,0.00004087041],"domain_scores_gemma":[0.9997525,0.00005533723,0.00004209803,0.00003371611,0.00009566396,0.00002075791],"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":[0.0001258486,0.00002961066,0.0002737367,0.0005511396,0.00002220066,0.0001925784,0.0002417947,0.0008403083,0.968623,0.001922155,0.001806257,0.02537141],"study_design_scores_gemma":[0.00001159303,0.0001675364,0.0007856442,0.00002944979,0.00001403674,0.000108058,0.00005560698,0.001015896,0.9515707,0.00009535009,0.04612605,0.00002001529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7930521,0.01072959,0.1409534,0.001041072,0.001561888,0.0005274682,0.002851706,0.002323128,0.04695959],"genre_scores_gemma":[0.7682405,0.004613204,0.123196,0.0005021744,0.00007426765,0.0004832041,0.002552734,0.0007558097,0.09958214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01051275,"threshold_uncertainty_score":0.03516859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08024797632145153,"score_gpt":0.3702875870439997,"score_spread":0.2900396107225481,"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."}}