{"id":"W3020476608","doi":"10.1109/pcic30934.2019.9074504","title":"Applying Wireless Communications Technology to Industrial Trace Heating","year":2019,"lang":"en","type":"article","venue":"","topic":"Wireless Sensor Networks for Data Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada); University of Alberta","funders":"","keywords":"Wireless; TRACE (psycholinguistics); Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002693571,0.0001288705,0.0002384511,0.0003514462,0.0001764803,0.0001559341,0.003218261,0.0001496389,0.00003874422],"category_scores_gemma":[0.00003473853,0.0001263751,0.00005789376,0.002199557,0.00003892067,0.0003765593,0.00145321,0.0003382005,0.0005766012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005858633,"about_ca_system_score_gemma":0.00003918871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001471147,"about_ca_topic_score_gemma":0.00009667494,"domain_scores_codex":[0.9986859,0.00006139954,0.0002898181,0.0004128455,0.0002148655,0.0003351899],"domain_scores_gemma":[0.9968323,0.0001575109,0.00008350005,0.002755868,0.00007185035,0.0000989653],"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":[0.000004784793,0.0000988774,0.01828101,0.000006226054,0.00008307779,0.000003800801,0.0002873457,0.004889504,0.006428713,0.295662,0.00247439,0.6717802],"study_design_scores_gemma":[0.0005930994,0.00009480018,0.0001664495,0.000068339,0.00002203885,0.00002114626,0.000583287,0.9311478,0.003914062,0.001100033,0.06175444,0.0005345085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3047399,0.00009366967,0.670593,0.01199681,0.0003834115,0.001196867,0.000005692486,0.001076954,0.009913717],"genre_scores_gemma":[0.9101037,0.000007877402,0.08890563,0.0003066656,0.00004538327,0.0001031013,0.000007686344,0.00001136557,0.0005085892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9262583,"threshold_uncertainty_score":0.7411234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211080409841463,"score_gpt":0.2821645041780429,"score_spread":0.2500537000796282,"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."}}