{"id":"W4206891556","doi":"","title":"Issues and Challenges in building a Robust Communication Platform for USAR","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Francophone University Association","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005876031,0.001085944,0.001884925,0.0007205046,0.001530714,0.004357199,0.004076328,0.004048422,0.008169344],"category_scores_gemma":[0.007086594,0.0009520825,0.0008050815,0.0006674497,0.001737585,0.009601413,0.00420416,0.002976784,0.005366365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000770266,"about_ca_system_score_gemma":0.002111141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240335,"about_ca_topic_score_gemma":0.0010867,"domain_scores_codex":[0.9964998,0.0007788688,0.0002279297,0.0005985452,0.001361219,0.0005335941],"domain_scores_gemma":[0.994626,0.001252356,0.0006122983,0.00151343,0.00170156,0.000294374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005666163,0.0004672038,0.001604705,0.001214894,0.0001993334,0.0008838015,0.0007215008,0.230131,0.147266,0.1770843,0.01273362,0.4271272],"study_design_scores_gemma":[0.0001183065,0.001375545,0.001120135,0.0002192028,0.0001565287,0.0009074783,0.001057472,0.6792504,0.1255271,0.0834056,0.1066289,0.000233354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03061528,0.001611189,0.9417172,0.004887148,0.0004627781,0.0002390951,0.0001067764,0.003940997,0.01641949],"genre_scores_gemma":[0.4866761,0.001320525,0.4932666,0.0009011563,0.0003879651,0.000517049,0.0002745198,0.0009400054,0.01571606],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008169344,"threshold_uncertainty_score":0.03107584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05112749931350866,"score_gpt":0.2610555261417262,"score_spread":0.2099280268282175,"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."}}