{"id":"W7036937055","doi":"","title":"Développement et utilisation de sources de plasma pour stériliser des instruments médicaux","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Context (archaeology); Work (physics); Production (economics)","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":[0.001859632,0.001099422,0.000686384,0.001732714,0.001615796,0.00273154,0.001440627,0.002276672,0.01695433],"category_scores_gemma":[0.002291014,0.0008578141,0.0008407002,0.0008771569,0.0008195794,0.0016929,0.001472874,0.001483104,0.009119539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605915,"about_ca_system_score_gemma":0.001273133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002288101,"about_ca_topic_score_gemma":0.003240105,"domain_scores_codex":[0.9982895,0.0002204833,0.00004953436,0.0003929656,0.000881766,0.000165837],"domain_scores_gemma":[0.9990003,0.000298507,0.00008889689,0.0001887823,0.000379064,0.00004461214],"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":[0.0005740441,0.0000833683,0.001183438,0.0004836583,0.0000395989,0.0003916493,0.0006462068,0.0007685329,0.9145938,0.002728383,0.005319689,0.07318782],"study_design_scores_gemma":[0.00006157673,0.0002794579,0.002867135,0.00004405494,0.00003454287,0.0003627127,0.0001396069,0.002564175,0.9246021,0.0004106464,0.0686079,0.00002603164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4515657,0.01650284,0.3527963,0.002249149,0.0016068,0.001406653,0.003416925,0.01085187,0.1596038],"genre_scores_gemma":[0.6020667,0.005930587,0.1370616,0.001065485,0.0003256616,0.0008353364,0.003051108,0.003020345,0.2466432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695433,"threshold_uncertainty_score":0.05671787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007706705114027445,"score_gpt":0.1693609074137742,"score_spread":0.1616542022997468,"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."}}