{"id":"W6996729575","doi":"","title":"StÃ©rilisation par plasma diffÃ©rÃ©, comprÃ©hension et optimisation du procÃ©dÃ©","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plasma; Process (computing); Yield (engineering); Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007150208,0.001462539,0.001221693,0.0007566848,0.001067764,0.003115355,0.001456105,0.001562,0.05431882],"category_scores_gemma":[0.001834377,0.0005524426,0.001049983,0.0006953594,0.0006646817,0.00111164,0.001124556,0.001723202,0.0165295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826218,"about_ca_system_score_gemma":0.001326478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280976,"about_ca_topic_score_gemma":0.007470971,"domain_scores_codex":[0.9993384,0.00008752501,0.00001925594,0.0001187981,0.0003436323,0.00009216736],"domain_scores_gemma":[0.9993103,0.0001748314,0.00003959054,0.0001766405,0.0002433005,0.00005548478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002934882,0.0003503559,0.001828621,0.001043732,0.0002232302,0.0006256351,0.0005680892,0.13999,0.1908838,0.04823336,0.1052198,0.5080985],"study_design_scores_gemma":[0.000596842,0.000576001,0.004918751,0.0000766029,0.00009342878,0.0005618698,0.0002472198,0.5314951,0.1800043,0.0117648,0.269535,0.0001301929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1542128,0.003753254,0.5772511,0.00162041,0.002117751,0.0004255645,0.002624966,0.04128135,0.2167128],"genre_scores_gemma":[0.4445477,0.001249688,0.2012264,0.0005248809,0.0003520995,0.0004204261,0.002971933,0.01011163,0.3385953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05431882,"threshold_uncertainty_score":0.1817145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004030760317332163,"score_gpt":0.1426384929717811,"score_spread":0.138607732654449,"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."}}