{"id":"W1992308975","doi":"10.1109/ccece.2012.6334891","title":"Estimation of emitter power, location, and path loss exponent","year":2012,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Royal Military College of Canada","funders":"","keywords":"Exponent; RSS; Algorithm; Computer science; Path (computing); Position (finance); Mathematics; Computer network","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":[0.0006921053,0.001239406,0.0005564688,0.002588276,0.0002901213,0.0009329004,0.0007259194,0.0005304198,0.001678412],"category_scores_gemma":[0.005517586,0.0004633406,0.0004317932,0.001927394,0.0002165321,0.001808217,0.0005947483,0.0007332692,0.002041269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365364,"about_ca_system_score_gemma":0.0005048474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713024,"about_ca_topic_score_gemma":0.002730448,"domain_scores_codex":[0.9994441,0.00006029473,0.00004954887,0.0001563707,0.0002422298,0.00004752697],"domain_scores_gemma":[0.9980633,0.0005297401,0.0003510664,0.0002667068,0.0007387499,0.00005050052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004037438,0.0001909054,0.1363856,0.0005902432,0.0002093868,0.001110615,0.0003800651,0.1979675,0.1051903,0.006117106,0.01073526,0.5407193],"study_design_scores_gemma":[0.00003926105,0.0002348396,0.1212778,0.0001255122,0.0001498885,0.00151721,0.0002912423,0.7867072,0.06898104,0.005957666,0.01451007,0.000208231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1537401,0.001255788,0.8327662,0.0002076061,0.0001004439,0.0001804102,0.002082761,0.002704348,0.006962282],"genre_scores_gemma":[0.6976432,0.001993435,0.2897983,0.0000880061,0.00007350352,0.00023458,0.00401711,0.0002654213,0.005886358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002713024,"threshold_uncertainty_score":0.005614817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005225885786639242,"score_gpt":0.199065362075315,"score_spread":0.1938394762886758,"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."}}