{"id":"W7046371402","doi":"","title":"Des chercheurs de l'IRC-CNRC mettent au point des réseaux de capteurs sans fil puor la surveillance en temps réel des réseaux d'égout","year":2008,"lang":"fr","type":"article","venue":"NPARC","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wireless sensor network; Point (geometry); Set (abstract data type); Flow (mathematics); Calculus (dental)","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":[0.004003209,0.0009917151,0.0006951804,0.002248953,0.005176817,0.002495523,0.00158602,0.002578957,0.0605954],"category_scores_gemma":[0.005302836,0.0007268387,0.0009043734,0.001309662,0.00152368,0.001345272,0.002341092,0.002783658,0.02067144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005238233,"about_ca_system_score_gemma":0.009771456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08625622,"about_ca_topic_score_gemma":0.1400726,"domain_scores_codex":[0.9969715,0.0003641692,0.0001096894,0.0004773911,0.001561541,0.0005156486],"domain_scores_gemma":[0.9945252,0.0007960766,0.00029059,0.0005798947,0.002615761,0.001192588],"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":[0.002753305,0.000901969,0.05910917,0.0006830636,0.0001023065,0.006482664,0.009634427,0.00464475,0.1003711,0.02905076,0.2778527,0.5084138],"study_design_scores_gemma":[0.0001175231,0.0006845309,0.04478739,0.000116768,0.00002817695,0.001329894,0.001963925,0.001881695,0.02303005,0.0006917929,0.9252501,0.0001180191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2945183,0.005286719,0.08131599,0.01754702,0.007017006,0.003355038,0.005564407,0.008075896,0.5773196],"genre_scores_gemma":[0.1798386,0.001061552,0.03714692,0.00161784,0.0005296374,0.0007387466,0.001866438,0.001139742,0.7760605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08625622,"threshold_uncertainty_score":0.2027118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09806957812018582,"score_gpt":0.3035227534999541,"score_spread":0.2054531753797683,"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."}}