{"id":"W7043356161","doi":"","title":"Smart Environments for Collaborative Design, Implementation, and Interpretation of Scientific Experiments","year":2007,"lang":"en","type":"article","venue":"University of Twente Research Information","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Social Sciences and Humanities Research Council of Canada; Bundesministerium für Bildung und Forschung; National Institute of Child Health and Human Development; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Norwegian Biodiversity Information Centre; European Commission; Advanced Research Projects Agency; National Science Foundation","keywords":"Ambient intelligence; Multidisciplinary approach; Focus (optics); Interpretation (philosophy); Position paper; Empirical research; Smart environment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002390019,0.00005112846,0.00009466014,0.0005318233,0.000229673,0.00007038149,0.000247955,0.00003171573,0.000009533464],"category_scores_gemma":[0.00006911388,0.00006118129,0.00002487016,0.0004115717,0.0001646404,0.002791446,0.0001569313,0.00004725121,0.000007968758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242543,"about_ca_system_score_gemma":0.0001252779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008930111,"about_ca_topic_score_gemma":0.00005442186,"domain_scores_codex":[0.9989216,0.0001244283,0.0002193114,0.0001169636,0.0004574251,0.0001602787],"domain_scores_gemma":[0.9986641,0.0003277378,0.0002271653,0.0001537352,0.0005681504,0.00005906781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009523613,0.0002393834,0.004474792,0.00035488,0.0001885879,0.00000166544,0.1005803,0.00008646389,0.04599198,0.0082083,0.005454926,0.8334663],"study_design_scores_gemma":[0.009408416,0.002136516,0.027052,0.0003714672,0.0000332973,0.000007965808,0.2111058,0.09499796,0.5793271,0.001602459,0.07338295,0.000573992],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0919646,0.00001492388,0.9067153,0.00006465372,0.00007954161,0.0007171974,0.00002549021,0.000009075156,0.0004092367],"genre_scores_gemma":[0.9864759,0.00001044573,0.01337984,0.000005095669,0.00000277152,0.000001822619,0.00003563161,0.000001470017,0.00008703957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8945113,"threshold_uncertainty_score":0.2494901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07837321013787078,"score_gpt":0.3468427066835657,"score_spread":0.2684694965456949,"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."}}