{"id":"W2995918236","doi":"","title":"An architectural framework for developing advanced integrated environmental monitoring systems","year":2008,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Windsor; Ontario Centres of Excellence","keywords":"Computer science; Environmental resource management; Risk analysis (engineering); Environmental planning; Business; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003836678,0.0009494676,0.0005344455,0.001052998,0.001144816,0.004614079,0.002747789,0.001785041,0.002671928],"category_scores_gemma":[0.003274963,0.0009493731,0.001256124,0.0009205645,0.002509495,0.003828373,0.004104961,0.002243798,0.0012137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321373,"about_ca_system_score_gemma":0.003486301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004691238,"about_ca_topic_score_gemma":0.004617032,"domain_scores_codex":[0.9976206,0.0006596388,0.0003438105,0.0003850214,0.0007534048,0.0002374333],"domain_scores_gemma":[0.9984038,0.0003277776,0.000170554,0.0003586766,0.0004651828,0.0002739724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001067031,0.0001861783,0.002930786,0.0006080884,0.0001632914,0.0008947042,0.002447486,0.1781651,0.022177,0.6158955,0.005560608,0.1708646],"study_design_scores_gemma":[0.00009473222,0.0003650545,0.00111693,0.000448917,0.0002221182,0.0008314375,0.001089528,0.5254667,0.0142962,0.2414593,0.214468,0.0001411717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0041324,0.0001701084,0.9895611,0.0003967251,0.00003423669,0.000167063,0.00003507848,0.001064746,0.004438514],"genre_scores_gemma":[0.04893152,0.0003455539,0.9474384,0.00009116778,0.00002059458,0.0002597686,0.0002165473,0.000125502,0.002570981],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004691238,"threshold_uncertainty_score":0.02029055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04128907517079199,"score_gpt":0.2491604650255142,"score_spread":0.2078713898547222,"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."}}