{"id":"W7029403051","doi":"","title":"Injecteur optimisé pour l'épitaxie par jet chimique","year":2016,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Motion study; Gas analysis; Industrial equipment","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":[0.0009559864,0.0007871715,0.0005669919,0.0004496473,0.0003433273,0.00111565,0.0006210408,0.0008056018,0.003272107],"category_scores_gemma":[0.0007860704,0.0004884639,0.0006058291,0.000410327,0.0003461092,0.0008548957,0.000420805,0.000870272,0.001057955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065914,"about_ca_system_score_gemma":0.0009006771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002851453,"about_ca_topic_score_gemma":0.003857795,"domain_scores_codex":[0.9992117,0.00003823006,0.00002630467,0.0001193483,0.0005269358,0.00007742271],"domain_scores_gemma":[0.9995492,0.0001180199,0.00006782301,0.00005131433,0.0001886026,0.00002506273],"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":[0.0002695271,0.00006411991,0.0008829135,0.0003441482,0.00002501703,0.000144921,0.0001373523,0.009853329,0.9746726,0.00127269,0.0008509225,0.01148241],"study_design_scores_gemma":[0.00003718276,0.0005725016,0.002255014,0.0000357522,0.00006119011,0.0001127295,0.00005623195,0.02824676,0.951395,0.0002607706,0.01692424,0.00004258311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7549909,0.006239658,0.2052851,0.0005325421,0.0006216941,0.0005294133,0.001806441,0.004126757,0.02586745],"genre_scores_gemma":[0.8859375,0.002313088,0.09395616,0.0001554625,0.00004175559,0.0004244125,0.00102942,0.0006975578,0.01544471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003272107,"threshold_uncertainty_score":0.01094633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158986251036888,"score_gpt":0.2068965013761892,"score_spread":0.1953066388658203,"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."}}