{"id":"W2035029323","doi":"10.1145/1280940.1281042","title":"HA-A2L","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Position (finance); Wireless sensor network; Node (physics); Tracking (education); Degree (music); Computer vision; Real-time computing; Algorithm; Artificial intelligence; Computer network; Physics; Acoustics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009122929,0.0006551882,0.0004845402,0.0009091743,0.0007630745,0.001088908,0.001539099,0.0009798085,0.009190433],"category_scores_gemma":[0.002762509,0.0002551572,0.0004826818,0.0009180496,0.0005451558,0.001490368,0.001959303,0.0006979752,0.00500322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658847,"about_ca_system_score_gemma":0.0008454722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002091763,"about_ca_topic_score_gemma":0.002865061,"domain_scores_codex":[0.9991347,0.0002316403,0.00004069531,0.0001934969,0.0003137717,0.00008568312],"domain_scores_gemma":[0.9981183,0.0004895252,0.0001444915,0.0006314485,0.0004962456,0.0001200097],"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":[0.0005104556,0.0001986795,0.003674553,0.0003816362,0.0001032457,0.0002607245,0.0001758116,0.05542895,0.02365447,0.0331216,0.03542495,0.847065],"study_design_scores_gemma":[0.0001660287,0.0005769375,0.001762236,0.00004162035,0.0000470359,0.001283669,0.0001244613,0.8439628,0.02779436,0.02783659,0.0963206,0.00008365663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01542262,0.0005426767,0.9672548,0.0003028582,0.0002575798,0.0001301941,0.0003912733,0.005513343,0.01018475],"genre_scores_gemma":[0.3221929,0.0004213479,0.6581745,0.000536881,0.0001980327,0.0003120287,0.001259096,0.0004528543,0.01645222],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9908096,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295991180357716,"score_gpt":0.2268789708117272,"score_spread":0.2139190590081501,"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."}}